2021 Postings

Please contact Dr. Anarina Murillo for more information about posting a job advertisement.


Assistant Professor 
Drexel University
Posted December 20, 2021

Advertised: Oct 14 2021 Eastern Daylight Time
Applications close: Feb 15 2022 Eastern Standard Time

Assistant Professor (Tenure-Track)
New York University
Posted December 20, 2021

Description: The Department of Biostatistics of New York University’s (NYU) School of Global Public Health (GPH) is seeking applications for a tenure-track Assistant Professor faculty position to begin in Fall 2022.  We seek candidates of exceptional potential and emerging scholarship who can contribute to the academic and research enterprise of NYU. The Department of Biostatistics offers MPH and MS degrees, and a PhD within the GPH PhD program in Public Health.  The department also participates in the school-wide, newly-launched DrPH degree.  The Department is interested in recruiting an outstanding faculty member who can strengthen and contribute to our programs of research and our course offerings. We are strongly committed to promoting diversity and supporting students, staff and faculty from underrepresented backgrounds.  Please see our website for more information:  https://publichealth.nyu.edu/department/biostatistics

Diversity & Inclusion Statement: At NYU we are committed to inclusive excellence.  Inclusion is foundational to scholarly excellence and critical to developing pathways to training for students traditionally underrepresented in the academy and/or particular disciplines. The diversity and inclusion statement offers each applicant the opportunity to highlight their past, present, and future contributions to creating inclusive excellence. 

We recognize that local contexts vary across departments and disciplines and that contributions to diversity and inclusion may take many forms.  Efforts to cultivate inclusive excellence might include, for example, creating opportunities for students, faculty, and staff traditionally underrepresented in the U.S. academy and/or particular disciplines; public or primary school outreach (particularly to underserved communities); contributions to the diversity of thought and perspective; efforts to increase inclusion and equity at the university or in the local community; as well as one’s own life experience.

Below are a few examples of contributions to inclusion that might be developed in a diversity & inclusion statement.  These are by no means exhaustive.  Your statement might expand on how you have gone about:

Fostering inclusion and building pathways in your discipline by

• Creating an inclusive and accessible classroom/course (including developing your skills for so doing)
• Working with campus organizations that support underrepresented, first-generation, differently-abled or non-traditional undergraduate or graduate students
• Developing discipline or area-specific pathways to majors for such students (e.g., Women in Science)
• Mentoring individual students, faculty or staff from diverse backgrounds
• Training international students or mentoring faculty from developing countries
• Working with your national scholarly organization on diversity, inclusion or equity issues, or
• Broadening the influence of your work for the public and enhancing underserved communities by
• Participating in K-12 classroom, museums, or other afterschool programming aimed at fostering general education, excitement, and possibility (particularly in underserved populations)
• Providing apprenticeships and internships for pre-college students
• Participating in prison education or other adult education programs that serve under-resourced populations
• Developing educational programming thru the media or social media
• Bringing results of research back to local or international communities
• Participating as a ‘public intellectual’ on timely issues
• Engaging in community activities around education, social justice, equity, and inclusion.

Qualifications: The candidate must meet the following requirements: (1) doctoral degree or equivalent in Biostatistics or Statistics or related field; (2) strong and emerging record of scholarly achievement; and (3) and experience in teaching or mentoring graduate or undergraduate students. 

Candidates also are expected to have strong records of high quality scholarship and to have or develop active, externally-funded research programs; and a research agenda that is congruent with GPH priorities.

Application Instructions

Applicants must submit
Cover letter addressing candidate’s qualifications for the position
Curriculum vitae
3 recent publications
Three letters of recommendation
A Diversity and Inclusion Statement

To apply complete the application here: https://apply.interfolio.com/99637

For further information, please contact: Department Chair, Rebecca Betensky at rebecca.betensky@nyu.edu. Review of applications will continue until positions are filled.





Statistician / Researcher - Statistics & Methods
Mathematica 
Posted December 9, 2021 

Position Description: Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Read more about our benefits here:https://www.mathematica.org/career-opportunities/benefits-at-a-glance

About the opportunity: We are looking for PhD-level health statisticians to join our vibrant group of over 50 statisticians and data scientists. The contributions of our statisticians underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statisticians have developed COVID-19 decision tools, extended state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery, and leveraged Bayesian factorial design to improve the presentation of school choice information to low-income parents.

Position Responsibilities:

• Analysis. Apply a wide array of statistical and machine learning methods to evaluate and improve social programs and policies, by designing rigorous studies, coding data analyses, visualizing results, and interpreting findings.
• Methods development. Leverage deep technical expertise in statistical methodology to improve existing methods for policy research and program design.
• Communication. Draft reports and present inferences to policymakers and other stakeholders. Reflecting our commitment to innovation, we also provide support for staff to engage in professional activities such as publishing in journals and presenting at conferences.
• Mentorship. Oversee the analyses of junior statisticians and support their professional development.
• Business development. Author proposals for new research projects, especially the quantitative methods sections.
• Teamwork. Participate actively and thoughtfully in multidisciplinary teams.

Position Requirements:

• Doctoral degree or equivalent experience in a quantitative discipline, such as statistics, biostatistics, applied mathematics, or a related field
• Expertise in statistical and/or machine learning methods such as causal inference, equitable evaluation, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, predictive modeling, natural language processing, and/or network analysis
• Fluency in one or more of the following statistical programming languages: R, Python, Stan, Julia, SAS, and/or Stata
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
• Experience contributing to proposals preferred
• Subject-matter knowledge in health policy preferred

One of Mathematica’s core values is a deep commitment to diversity, equity, and inclusion. Our research is more robust because it is informed by a variety of diverse perspectives, and our mission to improve societal well-being is strengthened by a greater understanding of issues and challenges facing the populations we serve. Mathematica’s ongoing commitment to diversity and inclusion is woven into our everyday actions, policies, and practices. We are dedicated to maintaining a work environment in which everyone is treated with respect and dignity. We offer Employee Resources Groups on a variety of topics, local diversity and inclusion activities in each office, and a Diversity council.

Various federal agencies with whom we contract require that staff successfully undergo a background investigation or security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance.

Available locations: Washington, DC; Princeton, NJ; Cambridge, MA; Woodlawn, MD; Chicago, IL; Ann Arbor, MI; Oakland, CA; Seattle, WA; Remote

In accordance with Executive Order 14042 and its implementing guidelines, all Mathematica employees must provide documentation that they have been fully vaccinated or obtain an accommodation through Human Resources by providing documentation from a licensed health care provider that they are unable to be vaccinated against COVID-19 because of a disability (which would include medical conditions) or provide an attestation that they are entitled to an accommodation because of a sincerely held religious belief, practice, or observance.

This position offers an anticipated annual base salary range of $100,000-$140,000.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
 
Application Requirements
To apply, you will need your resume, cover letter, and a writing or work sample. Throughout the course of your candidacy, you may be asked to provide letters of recommendation and/or a list of references we can contact.
Apply: https://careers.mathematica.org/job/oakland/statistician-researcher-statistics-and-methods/727/19294335088
Contact: Mariel Finucane (she/her/hers) mfinucane@mathematica-mpr.com





Qualitative Research Associate (Part Time)
NDRI-USA
Posted December 9, 2021 

General Position Description: NDRI-USA in Leawood, KS is currently seeking a Qualitative Research Associate (Part Time) with interest in qualitative research to join our team of researchers focused on the health outcomes, epidemiology, and prevention science, with a specific focus on military and emergency responders. The research associate will work under the guidance of PI, senior research personnel, and or project manager. This is a grant-funded position, and employment is contingent upon continued funding.

Job Title: Qualitative Research Associate
Position Type: Part time 50% effort (18.75 hours per week) 12-month position.
Salary:  between $23 - $25 per hour (commensurate with experience). This is a grant-funded position, and employment is contingent upon continued funding.
Location: 1920 West 143^rd Street, Suite 120, Leawood, KS 66224

Responsibilities will include:

• Coding and assisting with analysis of interview and textual data. Experience preferred but training will be provided.

• Working with confidential data and maintaining confidentiality, privacy, and integrity in professional interactions;

• Data entry and database management. Experience preferred but training will be provided;

• Assisting with research and manuscript preparation for publication and dissemination of results, including conducting literature searches, article summaries, and basic coding and analysis;

• Contributing to the development of study-related documents and/or materials; and

• Performing other related duties as assigned.

Required Qualifications:

• Bachelor’s degree preferred or current enrollment in Social Sciences, Psychology, Sociology, Education, Health Sciences or related field.

• Experience with quantitative and qualitative research methods and data analytic skills, or desired to develop these skills;
  

Preferred Qualifications:

• Proficient in Microsoft Office applications;

• Knowledge of web-based survey (e.g., Qualtrics, SurveyMonkey), statistical/analytical packages (e.g.,  NVivo, SPSS) a plus;

• Ability to organize and perform multiple tasks and meet deadlines with minimal supervision;

• Demonstrate excellent written and verbal communication skills Demonstrate excellent organizational, interpersonal and communication skills is desired.

Required Application Materials:

Cover letter and CV/Resume

Interested applicants should apply online at: 

https://ndriusa.bamboohr.com/jobs/view.php?id=28&source=aWQ9MTY%3DApplication Deadline:

Review of applications begins upon receipt; the position remains open until filled.

 

NDRI-USA is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: NDRI-USA is committed to the principle of equal employment opportunity, focused on promoting diversity, equity and inclusion for all employees and to providing employees with a work environment free of discrimination and harassment. 

Mission Statement:  It is our mission to dynamically develop, conduct, and disseminate cutting edge research that addresses significant societal problems, informs policy, and improves public health and quality of life.  To achieve this mission, we work to create an interdisciplinary and collaborative environment that promotes the creation and successful conduct of innovative research that is impactful for the populations and communities served.

*Values:  As a leading-edge not-for-profit research organization, we understand the trends and forces that are impacting the well-being and health of people.  We are committed to an iterative learning process focused on supporting and educating these populations and improving their health and quality of life. 

*Vision:  To innovate and lead globally in developing high impact, actionable research, as well as consultative and educational solutions to pressing public health problems.

Assistant Teaching Professor (Probability, Statistics, Data Science)
University California Berkeley
Posted November 28, 2021

POSITION OVERVIEW
Position title: Assistant Teaching Professor (Job #JPF03251)
Anticipated start: July 1, 2022

APPLICATION WINDOW
Open November 18th, 2021 through Sunday, Dec 19, 2021 at 11:59pm (Pacific Time)

POSITION DESCRIPTION

The Department of Statistics, in the Division of Computing, Data Science, and Society at the University of California, Berkeley is consistently ranked as one of the two premier programs in Statistics nationally. Since the inception of the Department in 1955, graduates and faculty of Berkeley have shaped the foundations and applications of Statistics. Past faculty in the Berkeley Statistics Department include such luminaries as David Blackwell, Leo Breiman, David Freedman, Lucien Le Cam, and Erich Lehmann. The Department currently has over 30 active research faculty, four of whom are members of the National Academy of Sciences.

The Department of Statistics at the University of California, Berkeley seeks applications for an Assistant Teaching Professor position (Lecturer with Potential for Security of Employment, LPSOE), in Probability, Statistics, and Data Science. The primary duties and responsibilities of an appointee to the position are teaching, pedagogical innovation, and academic program development. Secondary responsibilities are professional and/or scholarly achievement and creative activity, including those related to instruction and pedagogy. Therefore, it is expected that the appointee demonstrate teaching excellence and pedagogically innovative techniques both in the classroom and in professional and scholarly activities. Furthermore, the appointee will be expected to demonstrate equitable and inclusive teaching practices, such as those described on the website for the Center for Teaching & Learning (https://teaching.berkeley.edu/resources/promoting-equitable-and-inclusive-learning-environment). This position has the possibility of security of employment (equivalent to tenure).

Diversity, equity, inclusion, and belonging are core values of the Department of Statistics. We believe that our excellence can only be fully realized by faculty, students, and staff who share fully our commitment to these values. The Department is committed to addressing the family needs of faculty, including dual-career couples and single parents. We are also interested in candidates who have had non-traditional career paths, who have taken time off for family reasons, or who have achieved excellence in careers outside academia.
Department: https://statistics.berkeley.edu/
Division: https://data.berkeley.edu/

QUALIFICATIONS
Basic qualifications (required at time of application)
PhD (or equivalent international degree), or enrolled in PhD-granting program (or equivalent international program) at the time of application.

Preferred qualifications
The successful candidate for an Assistant Teaching Professor position will preferably finish their PhD or equivalent degree within one year of their appointment’s expected start date. Applicants are expected to have demonstrated teaching and research potential. Serious consideration will be given to the candidate’s potential for pedagogical innovation, record in teaching at the undergraduate level, and potential for effective leadership. Serious consideration will be given to professional service, including service promoting access to and diversity in higher education and the academic profession.

APPLICATION REQUIREMENTS

Document requirements

• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Philosophy and Experience
• Statement of Research or Industrial Experience
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).
• Documentation of Excellence - 1 of 3 samples of scholarship (such as teaching materials, preprints, thesis draft, and publications)
• Documentation of Excellence - 2 of 3 samples of scholarship (such as teaching materials, preprints, thesis draft, and publications)
• Documentation of Excellence - 3 of 3 samples of scholarship (such as teaching materials, preprints, thesis draft, and publications)
  (Optional)

Reference requirements

• 3 letters of reference required

Three letters of recommendation must be requested through the AP Recruit system for a complete application. We strongly encourage candidates to have all letters received by the Final Date the application is open. It is the responsibility of the applicant to make sure that letters of recommendation are submitted on time.

Apply link: https://aprecruit.berkeley.edu/JPF03249
Help contact: Recruit-Stat@berkeley.edu 

CAMPUS INFORMATION
Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.

The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting their letter.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. For new University of California employees, the applicable deadline is eight weeks after their first date of employment. (Capitalized terms in this paragraph are defined in the policy.)




Assistant Professor (Statistics, Data Science)
University California Berkeley
Posted November 28, 2021

POSITION OVERVIEW
Position title: Assistant Professor (Job #JPF03249)
Anticipated start: July 1, 2022

APPLICATION WINDOW
Open November 22nd, 2021 through Wednesday, Dec 22, 2021 at 11:59pm (Pacific Time)

POSITION DESCRIPTION
The Department of Statistics, in the Division of Computing, Data Science and Society at the University of California, Berkeley is consistently ranked as one of the two premier programs in Statistics nationally. Since the inception of the Department in 1955, graduates and faculty of Berkeley have shaped the foundations and applications of Statistics. Past faculty in the Berkeley Statistics Department include such luminaries as David Blackwell, Leo Breiman, David Freedman, Lucien Le Cam, and Erich Lehmann. The Department currently has over 30 active research faculty, four of whom are members of the National Academy of Sciences.

The Berkeley Statistics Department currently seeks applicants with outstanding records in Statistics and Data Science for a position at the Assistant Professor level. We are particularly interested in candidates working in data science at the interface of statistics with the biological, medical, physical, and social sciences, and in artificial intelligence and machine learning.

Assistant Professor applicants are expected to have demonstrated research potential. Serious consideration will be given to the candidate’s potential for success in mentoring PhD students, record in teaching at both the undergraduate and graduate levels, and potential for effective leadership. Serious consideration will be given to professional service, including service promoting access to and diversity in higher education and the academic profession.

Diversity, equity, inclusion, and belonging are core values of the Department of Statistics. We believe that our excellence can only be fully realized by faculty, students, and staff who share fully our commitment to these values. The Department is committed to addressing the family needs of faculty, including dual-career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia.

For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty.
Department: https://statistics.berkeley.edu/
Division: https://data.berkeley.edu/

QUALIFICATIONS
Basic qualifications (required at time of application)
PhD (or equivalent international degree), or enrolled in PhD or equivalent international degree-granting program at the time of application.

Preferred qualifications
The successful candidate for an Assistant Professor position will preferably finish their PhD or equivalent degree within one year of their appointment’s expected start date.

APPLICATION REQUIREMENTS
Document requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter

• Statement of Research

• Statement of Teaching

• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley (for additional information go to https://ofew.berkeley.edu/recruitment/contributions-diversity).

• Optional Publications - 1 of 3 publications (or preprints or thesis drafts)

  (Optional)

• Optional Publications - 2 of 3 publications (or preprints or thesis drafts)

  (Optional)

• Optional Publications - 3 of 3 publications (or preprints or thesis drafts)

  (Optional)

Reference requirements

• 3 letters of reference required

3 names and contact information (e-mail address) for writers of letters of recommendation. Letter writers will receive a URL for the online system through which they should upload their letters. Recommenders providing letters of reference should submit them as early as possible, preferably by December 5, 2021. Candidates are responsible for asking their references to upload letters as part of the online application process.

Apply link: https://aprecruit.berkeley.edu/JPF03249
Help contact: Recruit-Stat@berkeley.edu

CAMPUS INFORMATION
Diversity, equity, inclusion, and belonging are core values at UC Berkeley. Our excellence can only be fully realized by faculty, students, and academic and non-academic staff who share our commitment to these values. Successful candidates for our academic positions will demonstrate evidence of a commitment to advancing equity, inclusion, and belonging.

The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality (http://apo.berkeley.edu/ucb-confidentiality-policy) prior to submitting their letter.

As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19. All Covered Individuals under the policy must provide proof of Full Vaccination or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, and/or Religious Objection) or Deferral (based on pregnancy) no later than the applicable deadline. For new University of California employees, the applicable deadline is eight weeks after their first date of employment. (Capitalized terms in this paragraph are defined in the policy.)




Statistician Lead / Expert
The Child Health Evaluation and Research (CHEAR) Center at the University of Michigan
Posted November 28, 2021

How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary
The Child Health Evaluation and Research (CHEAR) Center at the University of Michigan is seeking a full-time statistician at the lead or expert level. Under general direction, the statistician will select study samples in large health insurance claims databases; analyze and interpret a wide variety of data according to established statistical methods; and prepare reports and tables summarizing results of analyses. This position requires an individual who can work with a high degree of independence within the scope of their responsibilities. The individual will be expected to analyze, compare, and evaluate different courses of action to solve complex analytic and programming problems without immediate supervision. The position will come with excellent university benefits, competitive salary, and opportunities for career advancement and development. The CHEAR Center prides itself on fostering a collegial, open, and family-friendly work environment, and on using rigorous methods to conduct research to improve child health (www.chear.org).

Responsibilities
Applicants must have a broad knowledge of statistical and programming principles, practices, and procedures, as the position requires a high degree of independence. At the same time, applicants must also have outstanding communication skills and operate as a highly valued collaborator with faculty, biostatisticians, research analysts, and database administrators. Responsibilities include:

• Contributing intellectually to the design, implementation, programming, analysis, reporting, documentation, and dissemination of research projects as a co-author

• Designing, testing, implementing, and debugging SAS programs using SQL merges to clean, manage, and merge analytic datasets for large health insurance claims databases based upon the design of the project

• Conducting advanced statistical analyses, including but not limited to regression modeling, casual inference methods, multiple imputation, machine learning, and multi-level models

• Work closely with the CHEAR team to develop grant proposals, including contributing to the framework of the study aims, designing and authoring the methodological approach, and performing power and sample size calculations

• Ad hoc teaching and mentoring for staff and faculty, such as through 1:1 meetings, brown bag luncheons, and other training opportunities

 
Successfully performing these duties will require:

• Reshaping and combining large data files to support multiple analytic approaches

• Organizing and maintaining analytic datasets and file systems for several projects

• Developing flow charts and other resources to clearly document processes to combine datasets; build analytic datasets; identify study population, etc.

• Independently planning and conducting complex analyses and technical investigations best suited for the project based upon comprehensive knowledge of statistical approaches

• Leading the development of statistical methodology for manuscripts and grants

• Providing leadership and consultation to faculty and staff collaborators regarding statistical, programming, or other methodological issues
  
  

Required Qualifications
Minimum requirements for Lead

• Master’s degree in related field with strong computing and quantitative skills

• Minimum of five years of direct experience with programming, health services research, and statistical analysis

• Experience with SAS and/or Stata

• Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments

• Must be able to independently program, manage data, and conduct statistical analysis

 

Minimum requirements for Expert

• Master’s degree in related field with strong computing and quantitative skills

• Minimum of ten years of direct experience with programming, health services research, and statistical analysis

• Experience with SAS and/or Stata

• Possesses and able to apply a broad knowledge of principles, practices, and procedures of health services research to the completion of difficult assignments

• Must have an advanced knowledge and be able to independently program, manage data, and conduct important and complex statistical analysis

 

Title and salary will be determined based on candidate qualifications and experience.

Desired Qualifications

• Master’s Degree in public health, biostatistics, statistics, computer science or economics

• Superior proficiency in the use of SAS and PROC SQL to manage, merge and manipulate large datasets

• Experience with claims databases such as OptumInsight, MarketScan, Medicare, and Michigan Medicaid claims

• Experience with obtaining and analyzing data from electronic medical records

• Demonstrated excellence in teaching, consulting, and mentoring in statistical concepts

• Familiarity with medical terminology

• Experience with NIH grant preparation and submission

• Demonstrated excellent professional, verbal and written communication skills

• Ability to prioritize and organize multiple projects at the same time

• Ability to independently act as a resource and problem-solver with minimal supervision

 

Work Schedule
Monday - Friday (40 hours/week)

Work Locations
300 North Ingalls Building, Ann Arbor, MI / You will be eligible for remote work flexibility.

Underfill Statement
This position may be underfilled at a lower classification depending on the qualifications of the selected candidate.

Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings.  Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.

Application Deadline
Job openings are posted for a minimum of seven calendar days.  The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.

U-M COVID-19 Vaccination Policy
COVID-19 vaccinations are now required for all University of Michigan students, faculty and staff across all three campuses, including Michigan Medicine.  This includes those working or learning remotely.  More information on this policy is available on the Campus Blueprint website or the U-M Dearborn and U-M Flint websites.




Assistant Professor (Tenure-track)
Colorado State University
Posted November 21, 2021

The Department of Statistics at Colorado State University (CSU) invites applications for two Tenure-track Assistant Professor positions. Researchers working in applied probability, high-dimensional probability, or statistical learning theory are particularly encouraged to apply. Duties will commence August 2022. A doctoral degree in statistics, or a closely related field, a commitment to high–quality research in statistics, and excellence in teaching are required.

Complete applications must include a cover letter, detailed CV, teaching and research statements, a statement of commitment to diversity and inclusion, three letters of reference, and graduate transcripts (official or unofficial).  More details on preferred qualifications and complete application instructions can be found at https://jobs.colostate.edu/postings/95479. Applications completed by December 5, 2021 will receive full consideration, but applications will be accepted after this date until the position is filled.

The Department of Statistics is committed to diversity and inclusion and expects candidates to have the ability to advance the department’s efforts in these areas. CSU is an EO/EA/AA employer and conducts background checks on all final candidates.

For more information, please see here: https://jobs.colostate.edu/postings/95479.

Open-Rank Faculty Positions
Fred Hutchinson Cancer Research Center
Posted November 7, 2021

The Public Health Sciences Division of the Fred Hutchinson Cancer Research Center in Seattle, Washington is recruiting a full-time faculty member with expertise in biostatistics and clinical trials at the Assistant, Associate, or Full Professor level.

Fred Hutchinson Cancer Research Center is one of the world’s leading academic research centers. Its focus is on cancer and infectious disease related research across all disciplines. At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion. Successful candidates for this faculty search will be those who demonstrate a commitment to these principles. 

Faculty will join a supportive and highly collegial environment that is committed to ensuring the development and success of strong research and mentoring programs. The successful candidate will conduct a dynamic research program consisting of collaborative studies and independent projects pertinent to the mission of the Fred Hutchinson Cancer Research Center. We seek candidates with demonstrated methodological and/or applied statistical science skills who aim to innovate and lead within their field. Applicants with expertise in the areas of clinical trials methodology and implementation are particularly encouraged to apply. Possible scientific areas of collaboration include broad aspects of cancer prevention (nutrition, physical activity, smoking cessation), early detection, health disparities, and cancer survivorship, among others. Applicants must hold a PhD or equivalent degree in biostatistics, statistics, or a related area and an academic track record consistent with rank.

The Public Health Sciences Division houses 5 scientific programs: Biostatistics, Epidemiology, Cancer Prevention, Translational Research and Computational Biology. The successful candidate is expected to have joint appointments in the Cancer Prevention and Biostatistics Programs. The Division is home to several large coordinating center efforts including the Women’s Health Initiative, the Early Detection Research Network, and SWOG (an adult cooperative oncology group), generating possibilities for collaborative work and new research projects.

The Division of Public Health Sciences, in conjunction with the Fred Hutch's Clinical Research, Basic Sciences, Human Biology and Vaccine and Infectious Disease Divisions, provides many opportunities for shared research across the spectrum of disease etiology, prevention and treatment. There are also strong collaborative ties between Fred Hutch and the University of Washington and an affiliate appointment in a relevant department at the University of Washington may be possible.

Fred Hutch, together with the University of Washington, Seattle Children’s, and the Seattle Cancer Care Alliance, is an NCI-designated Comprehensive Cancer Center with active training programs for graduate students and postdoctoral fellows. In addition, Fred Hutch has outstanding facilities and cutting-edge shared resources to support faculty. Fred Hutch is a modern campus located next to Lake Union in Seattle, Washington, and is close to other non-profit research institutes and the University of Washington. Additional information about Fred Hutch and its scientific divisions can be found at: http://www.fhcrc.org/science/. 

Application Instructions 
Interested candidates should submit: 1) a curriculum vitae; 2) a concise research statement that describes past accomplishments and future goals (three pages or less); 3) a diversity statement describing your past contributions to diversity, equity, and inclusion and your future plans for continuing these efforts (two pages or less); and 4) contact information for three letters of recommendation. Reference letters will be solicited for Assistant Professor applicants and may be solicited for senior applicants over the course of the search process. All components must be submitted for the application to move forward in the review process. Applications received before November 15, 2021 will be given full consideration by the search committee, though this search will remain open until it is filled. Contact Charles Smarr at csmarr@fredhutch.org with any questions. 

Equal Employment Opportunity Statement 
Fred Hutch is proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at hrops@fredhutch.org or by calling 206-667-4700.

Assistant Professor (Tenure-track)
California State Polytechnic University, Pomona
Posted November 7, 2021

California State Polytechnic University, Pomona invites applications for a tenure track faculty position in Statistics
. Cal Poly Pomona is one of two polytechnic universities in the 23-campus California State University system and among 11 such institutions nationwide. Since its founding in 1938, Cal Poly Pomona students participate in an integrative experiential learning education that is inclusive, relevant, and values diverse perspectives and experiences. With a variety of degree programs in the arts, humanities, sciences, engineering, and professional disciplines, the university is well known for its learn-by-doing approach and Teacher Scholar Model.

The university is noted for its scenic and historic 1,400-acre campus, which was once the winter ranch of cereal magnate W.K. Kellogg. We acknowledge that Cal Poly Pomona resides on the territorial and homelands of the Tongva and Tataavium people who are the traditional land caretakers of Tovaangar. The university’s nearly 30,000 students are taught and mentored by the campus’s more than 1,400 faculty as part of 54 baccalaureate and 29 master’s degree programs, 11 credential and certificate programs, and a doctorate in educational leadership. 

Highly regarded among its peer institutions, Cal Poly Pomona is No. 2 in the U.S. News and World Report rankings of top public regional universities in the west and was named the No. 15 best value college in the nation by Money Magazine. Cal Poly Pomona, a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution, stands as a national leader in promoting social mobility, and was placed among the 25 top institutions in the country in awarding bachelor’s degrees to minoritized students by Diverse Issues in Higher Education.  

The Cal Poly Pomona campus is located less than 30 miles east of downtown Los Angeles at the intersection of Los Angeles, Orange, Riverside and San Bernardino counties. It is within an hour’s drive of beaches, mountains and deserts. For additional information about the university, please visit www.cpp.edu, and for more about faculty life, please see YourLife@CPP.

Student Population.  California residents comprise the majority (96%) of applicants to undergraduate programs at Cal Poly Pomona – nearly half (49%) of new students were transfers in Fall 2020.  58% of Cal Poly Pomona students are first generation, 70% receive financial aid, and 44% qualify as Pell-eligible.  The university enrolls a diverse student body that identifies as 49% Latinx, 21% Asian, 15% White, 3% Black, 5% International, 3% two or more races, 3% unknown, less than 1% Native Hawaiian or Native Pacific Islander and less than 1% Native American Indigenous. 39% of the student body were STEM majors with the top enrolled programs including psychology, mechanical engineering, civil engineering, biology and computer science.

Inclusive Excellence Criteria.  We aspire to be the model inclusive polytechnic university in the nation. We have a strong commitment to inclusive excellence and to educational experiences that leverage the diverse perspectives and experiences needed to succeed and thrive in a diverse society. 

Tenure track faculty hires will demonstrate a commitment and record of contributions through their teaching, scholarship, or service to these inclusive excellence criteria (a minimum of two must be addressed in the Student Success Statement):

1. Integrates the values of equity and inclusivity into their teaching, scholarship and/or service contributions with diverse student populations;

2. Incorporates the contributions and struggles of historic ethnic minority groups and communities into their teaching, scholarly work, and/or service contributions;

3. Adopts teaching strategies that supports the learning and success of students from diverse student populations; 

4. Mentors and engages diverse student populations in discovery, scholarship, and creative activities; 

5. Engages students in problem-based projects and learning that address the needs of diverse communities; 

6. Possesses knowledge of challenges and barriers for underrepresented students and faculty within the discipline;

7. Mentors and assists diverse student populations interested in pursuing graduate education; 

8. Engages in community-responsive action research or service with diverse student populations and communities;

9. Has experience in or demonstrates a commitment to adopting experiential learning activities and pedagogy with diverse student populations and communities; and 

10. Has expertise in or demonstrated commitment to teaching, scholarship and/or service that contributes to access, diversity, and equal opportunity in higher education.

College.  The College of Science’s mission is to educate, mentor, and inspire students through scientific inquiry and hands-on learning. It offers 15 undergraduate degree programs and six Master’s degrees across seven academic departments that include: Biological Sciences, Chemistry & Biochemistry, Computer Science, Geological Sciences, Kinesiology & Health Promotion, Mathematics & Statistics, and Physics & Astronomy. Our Center for Excellence in Math and Science Teaching (CEMaST) supports K-16 education locally and nationally to increase STEM success and participation for all. The College has approximately 145 full-time faculty, 45 staff, 4,700 majors, and enrolls over 35,000 students each semester. The College of Science is committed to the teacher-scholar model and is the largest recipient of extramural funding on campus. We encourage a broad range of applicants who are committed to enhancing a culturally diverse community of faculty, staff, and students dedicated to an inclusive campus environment.

The Department. The Department of Mathematics and Statistics has over 30 full-time faculty and offers a bachelor’s degree in mathematics with two options: pure mathematics / secondary teaching and applied mathematics / statistics. We also offer a master’s program with four possible emphases: pure mathematics, applied mathematics, statistics, and mathematics education. Within the next two years, we also plan to launch a new Master of Science in Statistics and Applied Mathematics program. The department currently has over 500 major students, including over 80 graduate students, and serves over 5,000 students each semester. 

Cal Poly Pomona has a student body with diverse socio-economic and cultural backgrounds and learning styles, and the Department is looking for faculty who can thrive and contribute meaningfully in this environment. In particular, applicants with a commitment to diversity in higher education are encouraged to apply.  Our majors reflect the diversity of the overall university student population, with over 50% from underrepresented groups.  We support our students as they move into careers in STEM fields or further education in mathematics and statistics.  We value faculty who can inspire students through their teaching and through mentorship in research.

The Position. Throughout the academic year, you will typically teach a mix of courses in statistics and data science at the lower division, upper division, and graduate levels. In addition, you will be expected to supervise master's thesis research and prepare master's comprehensive exams. Your service duties will include contributing to department, college, and university committees, as well as other duties such as curriculum development. We also expect you to sustain a scholarly research program, which may include statistical consulting collaborations.

Salary will be commensurate with experience and qualifications. Our excellent benefits program includes start-up funds and a reduced teaching load during the first two years. Rank of initial appointment for this position is Assistant Professor only. 

Qualifications

Minimum Requirements:

• Completion of a Ph.D. in statistics or a related area by at the time of the appointment.

• Experience teaching or communicating in technical settings.

• Potential to sustain a scholarly research program in statistics or data science.

• Ability to contribute to the diversity and inclusiveness of the academic community through research, teaching, and/or service work. This evidence must be communicated in the application process via a Student Success Statement, which explicitly addresses at least two of the inclusive excellence criterialisted above in this long-form advertisement. 

Preferred/Desired Qualifications:

• Any area of statistics or data science will be considered, but preference will be given to candidates having expertise in machine/statistical learning, statistical computing, statistical software development, Bayesian analysis, nonparametrics, time series, biostatistics, stochastic processes, or mathematical statistics.

• Evidence of excellence in teaching and the ability to teach upper division and graduate statistics classes.

• Evidence of the ability or desire to direct master's thesis research.

Application Instructions
For first consideration, submit the following materials by Monday, December 6. All materials must be submitted to MathJobs.  In addition, submit the cover letter, curriculum vitae, and Student Success Statement to Interfolio:

• A cover letterin which you describe your background and interest in teaching, research, and service.  In your cover letter, please address the duties and qualifications stated in our position description.

• A curriculum vitae, which should include the names, titles, addresses, phone numbers, and emails of at least three references we may contact who can speak to your potential for success in this position.

• A Student Success Statement(two pages maximum) specifically addressing your teaching, successes, challenges, or other experiences in working with a diverse population and how this experience will contribute to the broader mission of Cal Poly Pomona to be the model of an inclusive polytechnic university.  Your Student Success Statement must explicitly address at least two of the inclusive excellence criteria listed above in our long form ad. 

• A Teaching Philosophy Statement, including evidence of the effective application of your teaching philosophy in technical communication settings (classroom teaching, consulting, etc.).

• A Research Statement, explaining your past and current research efforts as well as future research plans.

• Undergraduate and graduate transcripts. Unofficial transcripts may be submitted for this application; official graduate and undergraduate transcripts will be required if you are selected as a finalist.

• A minimum of three recent (within the previous two years) letters of referenceon your behalf should be submitted through AMS MathJobs.  At least one of your reference letters should address your teaching potential.

• A Cal Poly Pomona application form will be required if you are selected as a finalist. 

  (See https://www.cpp.edu/~faculty-affairs/documents/acadapplication.pdf).

Submit all the above materials to AMS MathJobs: https://www.mathjobs.org/jobs/list/18850

In addition, you must also submit your cover letter, curriculum vitae, and Student Success Statement to Interfolio: http://apply.interfolio.com/98443 

Your completed application packet will be available to be examined by all tenured and tenure-track faculty of the Cal Poly Pomona Department of Mathematics and Statistics. This position is open until filled.  Those applications completed and received by Monday December 6, 2021 will receive first consideration.  Early response is encouraged.

Please direct all inquiries to (email is recommended mode of contact):
Faculty Search Committee
Department of Mathematics and Statistics
California State Polytechnic University, Pomona
3801 West Temple Avenue
Pomona, California 91768-4007
E-MAIL: mathstatsearch@cpp.edu 
PHONE: (909) 869-3496 (Search Coordinator)

Equal Employment Opportunity Statement
California State Polytechnic University, Pomona is an Equal Opportunity, Affirmative Action Employer.  The University seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the people of California, to maintain the excellence of the University, and to offer our students richly varied disciplines, perspectives and ways of knowing and learning.  Cal Poly Pomona subscribes to all state and federal regulations and prohibits discrimination based on race, color, religion, national origin, sex, gender identity/gender expression, sexual orientation, marital status, pregnancy, age, disability, genetic information, medical condition, and covered veteran status.  The University hires only individuals lawfully authorized to work in the United States.  As required by the Clery Disclosure Act, the university’s annual security report is available at http://www.cpp.edu/~police/annual-security-report.shtml. The person holding this position is considered a ‘mandated reporter’ under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.  A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position.




Postdoctoral Associate in Biostatistics
New York University
Posted October 31, 2021

The Department of Biostatistics at the NYU School of Global Public Health is seeking candidates with a Ph.D. in Statistics/Biostatistics, Computer Science, or related fields for an exciting full-time Post-Doctoral Associate position available beginning on July 1, 2022, working with Dr. Yang Feng. More details about Dr. Feng’s research is available at his website: https://yangfeng.hosting.nyu.edu/


The postdoc associate will work with Dr. Feng to:
1) Develop novel machine learning methods and their associate theory.
2) Apply existing and new machine learning methods to public health and medical data.
3) Develop companion software.

Qualifications

Application Instructions
Please submit: 

• CV
• Official transcripts
• Research statement
• Representative publications (up to 2)
• Three reference letters

The application can be found here: https://apply.interfolio.com/97674

Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels.Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability




Elcan Jefferson Scholars Foundation Distinguished Professorship
University of Virginia
Posted October 31, 2021

The Department of Statistics at the University of Virginia (UVA), College and Graduate School of Arts & Sciences, invites applicants for the newly established Elcan Jefferson Scholars Foundation Distinguished Professorship (the position is tenured; the distinguished professorship is a five year renewable term).  Candidates’ records are expected to be commensurate with this honor. All research areas in Statistics are considered.  The Department is experiencing increased student demand in statistics research, particularly as motivated by its faculty’s diverse interdisciplinary collaborations, so we welcome those whose research and teaching span statistical methodology and computing across numerous disciplines.  In addition, the University hosts several Grand Challenges; see research.virginia.edu/Grand-challenges. The Department has a concurrent search for a tenure-track Assistant Professor, and both appointments begin in Fall 2022.

Candidates must have a Ph.D. in Statistics, Biostatistics, or a related field, and an outstanding record of research, teaching, funding and creating and leading initiatives. The ideal candidate should demonstrate success in these areas: create and lead research initiatives, engage in opportunities for external funding to support research endeavors, teach at the graduate and undergraduate levels, advise Ph.D. students, and provide service to the department, university, professional organizations, and the Jefferson Scholars Foundation by serving on Foundation selection committees, attending Foundation events, and helping the Foundation recruit Scholars and Fellows. We seek candidates dedicated to our mission and passionate about teaching and research in a world-class institution.

The Department of Statistics at UVA was established in 1989 and currently has 16 research and teaching faculty. Since 2014, the College of Liberal Arts & Sciences has made significant investments in the department, leading to a three-fold growth in faculty, a five-fold increase in undergraduate majors, and several new statistics courses, degree programs, and initiatives. Faculty and students work closely with biostatisticians in the adjacent School of Medicine, as well as with UVA’s Quantitative Collaborative (Social Sciences), School of Data Science, and other departments and schools; interests range from theoretical to applied statistics (including statistics in the physical, medical, and social sciences), with a strong emphasis on interdisciplinary collaborations. All faculty supervise a growing number of students at all levels;  we offer Bachelor of Arts, Bachelor of Science, Master of Science, Ph.D. degrees in Statistics. 

Review of applications will begin December 13, 2021; candidates who apply by then will be given priority consideration, but the position will remain open until filled. To apply, visit https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Endowed-Professor-of-Statistics--Tenured_R0030071-1  and complete an application online. Attach, as a single pdf: Cover letter that includes past experience working on issues of diversity, equity and inclusion and/or working with diverse populations and/or cultivating a diverse, equitable, and inclusive culture; CV; Research agenda, including potential collaborations at UVA; Teaching philosophy and experience; Contact information for at least 3 references.

For questions about the position, contact K. Kafadar, Search Chair, at kk3ab@virginia.edu.

For questions about the application process contact Rich Haverstrom, Faculty Search Adviser, rkh6j@virginia.edu.

Centrally located in Virginia, Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, Washington D.C.

COVID Vaccination Requirement

The University of Virginia expects all current and new employees (UVA Health System and Academic), to be vaccinated against COVID-19.

If hired to work within the University Health System, you will be required to provide proof of vaccination or be willing to receive the vaccination. Employees may request a medical or religious exemption from vaccination.

If hired to work on the Academic side of the University, excluding the School of Medicine, School of Nursing, UPG, and the Health Systems Library, you will be required to provide proof of vaccination or be willing to submit to mandatory, weekly prevalence testing. Employees that are working 100% remotely will not be subject to weekly prevalence testing; however, if the employee works on UVA Grounds (including the Medical Center) even intermittently, then they are required to be tested for COVID-19 once per week on an indefinite basis and follow masking mandates.

NOTE: Some medical and safety-sensitive positions require vaccination and are not eligible for an exemption.  For more information on how the vaccination and testing requirements will apply to you at your work location, see the UVA New Hire Vaccination Requirements webpage. 

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.




Assistant Professor (Tenure-Track)
University of Virginia
Posted October 31, 2021

The Department of Statistics at the University of Virginia (UVA), College and Graduate School of Arts & Sciences, invites applicants for a tenure-track Assistant Professor.  All research areas in Statistics are considered.  The Department is experiencing increased student demand in statistics research, particularly as motivated by its faculty’s diverse interdisciplinary collaborations, so we welcome those whose research and teaching span statistical methodology and computing across numerous disciplines. In addition, the University hosts several Grand Challenges; see https://research.virginia.edu/Grand-challenges. The Department has a concurrent search for a tenured Endowed Professor, and both appointments begin in Fall 2022.

Candidates must have a Ph.D. in Statistics, Biostatistics, or a related field. The ideal candidate should show a strong desire to contribute to the Department’s mission to offer creative and novel research, engage in external funding opportunities, teach at the graduate and undergraduate levels, advise Ph.D. students, and provide service to the department, university and professional organizations.

The Department of Statistics at UVA was established in 1989 and currently has 16 research and teaching faculty. Since 2014, the College of Liberal Arts & Sciences has made significant investments in the department, leading to a three-fold growth in faculty, a five-fold increase in undergraduate majors, and several new statistics courses, degree programs, and initiatives. Faculty and students work closely with biostatisticians in the adjacent School of Medicine, as well as with UVA’s Quantitative Collaborative (Social Sciences), School of Data Science, and other departments and schools; interests range from theoretical to applied statistics (including statistics in the physical, medical, and social sciences), with a strong emphasis on interdisciplinary collaborations. All faculty supervise a growing number of students at all levels, including Bachelor of Arts, Bachelor of Science, Master of Science, Ph.D. degrees in Statistics.

Review of applications will begin December 10, 2021; candidates who apply by then will be given priority consideration, but the position will remain open until filled. Apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Assistant-Professor-of-Statistics--tenure--track_R0030068  and attach, as a single pdf: Cover letter that includes past experience working on issues of diversity, equity and inclusion and/or working with diverse populations and/or cultivating a diverse, equitable, and inclusive culture; CV; Research agenda, including potential collaborations at UVA; Teaching philosophy and experience; Contact information for at least 3 references.

For questions regarding the position contact, Xiwei Tang, Search Chair, xt4yj@virginia.edu.

For questions regarding the application process contact, Rich Haverstrom, Faculty Search Adviser, rkh6j@virginia.edu.

Centrally located in Virginia, Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, Washington D.C. and Research Triangle Park, making UVA a most desirable place to live and work. For more information about UVA and the area, please visit http://uvacharge.virginia.edu/guide.html.

COVID Vaccination Requirement

The University of Virginia expects all current and new employees (UVA Health System and Academic), to be vaccinated against COVID-19.

If hired to work within the University Health System, you will be required to provide proof of vaccination or be willing to receive the vaccination. Employees may request a medical or religious exemption from vaccination.

If hired to work on the Academic side of the University, excluding the School of Medicine, School of Nursing, UPG, and the Health Systems Library, you will be required to provide proof of vaccination or be willing to submit to mandatory, weekly prevalence testing. Employees that are working 100% remotely will not be subject to weekly prevalence testing; however, if the employee works on UVA Grounds (including the Medical Center) even intermittently, then they are required to be tested for COVID-19 once per week on an indefinite basis and follow masking mandates.

NOTE: Some medical and safety-sensitive positions require vaccination and are not eligible for an exemption.  For more information on how the vaccination and testing requirements will apply to you at your work location, see the UVA New Hire Vaccination Requirements webpage.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.




Assistant Professor in Mathematics and Statistics (Tenure-Track)
University of Texas Rio Grande Valley
Posted October 22, 2021

The School of Mathematical and Statistical Sciences (SMSS) at the University of Texas Rio Grande Valley (UTRGV) invites applications for aTenure-track Assistant Professor position in mathematics and statistics beginning in Fall 2022. This hiring initiative focuses on the areas of computational mathematics and computational statistics. Candidates for this position are expected to strengthen and complement our research in mathematics and statistics. The selected finalist will establish independent research programs that successfully attract extramural funding, actively contribute to departmental development, and engage in innovative teaching at both undergraduate and graduate levels. The position offers attractive start-up funds, salary, and access to high performance computing clusters at UTRGV and at the Texas Advanced Computing Center in a dynamic and highly interactive research environment.

UTRGV is a leading Hispanic-serving institution recently promoted to R2 Carnegie research classification and with the goal to become an R1 institution in the near future. As such, the successful applicant will benefit from the college and university initiatives aligned with this goal, such as expanded research facilities, faculty salary incentives for external funding, an inclusive and welcoming environment, and growing graduate offerings, which include two new doctoral programs (PhD in Math and Statistics and PhD in Physics) and several more in the pipeline.

A Ph.D. in Mathematics, Applied Mathematics, Statistics or related field is required. Applicants should provide evidence of or strong potential for significant productivity in research. Externally funded research and teaching experience are considered a plus. Successful candidates will demonstrate potential for contribution to our Ph.D. program in Mathematics and Statistics with Interdisciplinary Applications, the ability to involve both undergraduate and graduate students in research activities, and a commitment to educate a diverse body of students in a Hispanic Serving Institution.

Diversity and inclusion are part of our core values and as such we encourage applications from women and members of underrepresented groups in the sciences. It is our commitment to elevate the lives and economic well-being of the Valley community, by offering first-rate education in the STEM fields. We value applicants who can understand and have overcome race, gender-based, and ability-based barriers, and who can bring with them the wealth of worldview, perspective, and experience, which are critical to an innovative and accessible educational environment.  As a federally designated Hispanic Serving Institution with a student population that is over 90% Hispanic, UTRGV is committed to preparing its students to succeed, contribute, and excel in an increasingly diverse, global, and interconnected world. Applicants who identify with this mission are strongly encouraged to apply.

Applicants should submit a cover letter, a curriculum vitae, a statement of research plan, a statement of teaching philosophy, and the names & contact information of at least three professional references. Complete applications should be submitted online at https://careers.utrgv.edu/postings/30540. Electronic inquiries may be directed to math@utrgv.edu. To ensure full consideration, applications should be received by October 30. Evaluations of the applicants will begin on November 1 and continue until the position is filled.

Assistant Professor of Biostatistics, Teaching Scholar Track
Brown University
Posted October 19, 2021

Description
The Department of Biostatistics at Brown University School of Public Health is seeking exceptional candidates with demonstrated commitment to statistical and health data science education and research for a new faculty position on the Teaching Scholar track. This appointment will be made at the level of Assistant Professor on a renewable term basis. In addition to classroom teaching and student mentoring, the new faculty member will be expected to participate in and potentially lead initiatives related to building a statistical and health data science education program, and to develop and use innovative approaches to statistical and interdisciplinary education. 

The new faculty member will join the Biostatistics faculty in the Brown University School of Public Health.  The department is actively engaged in methodologic and domain-area research in a variety of areas, with particular strength in the analysis of large health care databases, causal inference, Bayesian inference, diagnostic imaging evaluation and radiomics, computational biology, research synthesis, and neuroimaging. The Department is expanding its activities in research and education related to health data science and is an active member of the university’s Data Science Initiative.

The Department teaches a growing number of students at the undergraduate, Master’s, and PhD levels.  The master’s program includes a health data science track.  The Brown School of Public Health and the broader University offer opportunities for substantial collaboration with world class researchers in the constituent disciplines of data science as well as in a broad range of domain areas, such as health care and policy research, brain sciences, computational biology, epidemiology and behavioral sciences.

Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, race, color, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law.

Qualifications
Candidates must have a doctoral degree in biostatistics, statistics, data science or a closely related field and demonstrated excellence or potential in classroom teaching and student advising, together with interest and potential for engaging in statistical and interdisciplinary research.  Experience in multidisciplinary educational programs is preferred. All candidates must show evidence of excellent oral and written communication skills and a commitment to fostering and maintaining an inclusive, diverse and equitable educational environment. The Department of Biostatistics is strongly committed to goals and principles of the Brown University Pathways to Diversity and Inclusion initiative (https://diap.brown.edu/plans-reports).

Application Instructions
Please upload the following: letter of application, a statement on your teaching experiences, values and vision, a description of current and planned research, a diversity statement, and an updated curriculum vitae. In addition, candidates should arrange for at least three letters of recommendation to be submitted through Interfolio.  

Interested applicants should apply online at https://apply.interfolio.com/89452

Brown University is committed to increasing diversity and inclusion of underrepresented groups. In your diversity statement, please address how your past and present work demonstrates a commitment to diversity, equity and inclusion, and how you intend to continue your commitment to diversity in future work. We value the different ways this might be demonstrated through scholarship, teaching, mentoring, service and community engagement.

Application review will start shortly following the October 31, 2021 application deadline. All applications received by October 31st will receive full consideration. Applications received after the priority deadline may be reviewed until the position is filled or the search is closed. Application questions should be addressed to Denise Arver, Administrator, Department of Biostatistics, at Denise_Arver@brown.edu or Joseph Hogan, Professor and Chair, Department of Biostatistics, at jwh@brown.edu




Associate or Full Professor, Tenured
Brown University
Posted October 19, 2021

Description
The Department of Biostatistics is seeking to hire an exceptional senior faculty member with a distinguished and internationally recognized record of innovative, original, high-impact research in biostatistics, data science or related fields; a successful track record and strong commitment to education and mentoring in biostatistics and health data science; and potential to develop or lead new scientific initiatives at the intersection of data science and health.  The successful candidate will join a rapidly growing faculty in biostatistics, public health and data science at Brown, will have the opportunity to collaborate with world-class researchers at the School of Public Health and across the University, and will be able to engage in educational programs at the undergraduate, masters and doctoral level.  The School of Public Health has prioritized health data science as a key growth area.  The hire is being made at the Associate or Full Professor level, with tenure.Faculty in the Department of Biostatistics are engaged in a broad range of methodologic and collaborative research.  Areas of methodologic expertise and activity include causal inference, design and analysis of randomized trials, computational biology, radiomics and methods for diagnostic imaging data, machine learning, and Bayesian inference.  Active fields of collaborative domain-area research include infectious disease, neuroscience, health services research, global health, and cancer diagnosis and prevention.  In addition to the above, thematic priority areas for the School of Public Health include health data science, pandemic preparedness, and climate change.The Department’s educational offerings include programs leading to the PhD and ScM degrees in biostatistics and the undergraduate concentration in statistics at Brown.  We also teach courses for students in the MPH program, the Data Science masters program, and graduate programs in the School of Public Health, Division of Biology and Medicine, and the broader University community.

Qualifications
All candidates must have a doctoral degree in biostatistics, statistics, data science or a closely related field, show evidence of excellent oral and written communication skills, and possess strong ability and interest in teaching and mentoring of students in the growing educational programs in biostatistics and health data science.

Application Instructions
Interested applicants should apply online at apply.interfolio.com/96234 and include a cover letter, an updated CV, and statements describing research, teaching and professional activities related to promotion of diversity, equity and inclusion.  Brown University is committed to increasing diversity and inclusion of underrepresented groups. In your diversity statement, please address how your past and present work demonstrates a commitment to diversity, equity and inclusion, and how you intend to continue your commitment to diversity in future work. We value the different ways this might be demonstrated through scholarship, teaching, mentoring, service and community engagement. Brown University is committed to fostering a diverse and inclusive academic global community; as an EEO/AA employer, Brown considers applicants for employment without regard to, and does not discriminate on the basis of, race, color, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law.  The Department of Biostatistics is committed to goals and principles of the Brown University Pathways to Diversity and Inclusion initiative (https://diap.brown.edu/plans-reports). Applications received by January 4, 2022 will receive full consideration; review will continue until the position is filled or the search is closed.   Prospective candidates can make confidential inquiries directly to Joseph Hogan, Department Chair (jwh@brown.edu).  Other inquiries should be addressed to Denise Arver, Department Manager  (denise_arver@brown.edu).




Assistant Professor (Tenure-Track) or Professor of Practice, Data Science Emphasis
Northern Kentucky University
Posted October 19, 2021

The Department of Mathematics & Statistics, housed in the College of Arts & Sciences, at Northern Kentucky University invites applications from excellent individuals for a position in statistics, with a focus on data science. The position will begin in August 2022 at either the level of Assistant Professor (tenure-track) or Professor of Practice. The selected candidate will join a team of 9 other statisticians in the department committed to high-quality, rigorous education and research in their field. The department offers Bachelor’s degrees in both mathematics and statistics. In total, there are currently 19 tenured/tenure-track faculty members and 9 full-time lecturers. The university also offers an undergraduate major and minor in data science, which resides in the Department of Computer Science in the College of Informatics. Students majoring in data science complete coursework in data science, statistics, mathematics, computer science, and information technology. The newly hired faculty member will support departmental and university efforts to improve student success across all course levels, as well as initiatives to grow enrollments in the data science, statistics, and mathematics majors. 

The department is committed to diversity, equity, and inclusion work that impacts our students, faculty and staff. The NSF-funded STEM Ready grant includes a goal of diversifying the STEM majors at NKU through targeted support to improve mathematics placement. Faculty in the department are critical in the development and implementation of this grant initiative. Last year, a subset of department faculty participated in a professional learning community discussing equitable approaches to grading. These conversations have led to numerous changes in grading practices in hopes of addressing inequities in the classroom. Faculty have also successfully authored Equity, Diversity, and Inclusion Fellowship proposals, funded by the College of Arts & Sciences. The most recent proposal incorporated a free, online homework platform (WeBWorK) into introductory mathematics coursework to address issues of access to high-cost publisher platforms. 

Primary Responsibilities: We seek candidates interested in joining departmental efforts in all of the following ways:

• Teaching a total of 24 contact hours per academic year, with teaching assignments including introductory and upper-division statistics courses as well as data science courses.
• Partnering with faculty in the Departments of Mathematics & Statistics and Computer Science in support of the Data Science degree program, including recruitment/retention efforts, curriculum development and review, and accreditation work.
• Establishing and maintaining an active research program (Assistant Professor position).
• Fulfilling service expectations to the degree program, department, university, and/or community.
• Other duties as assigned.

 
For information on the department, see http://nku.edu/math and https://youtu.be/VwxAM7lTp2s.

For more information on the Data Science program, see https://nku.edu/academics/informatics/programs/undergraduate/datascience.html.

Required Qualifications

• S. in Statistics or related field and a minimum of 5 years’ experience in a position related to Data Science (Professor of Practice).
• D. in Statistics OR Ph.D. in Data Science with at least 18 hours in graduate-level coursework in statistics by the time of appointment (Assistant Professor).
• Proficiency in the R programming language, with an ability to integrate R into the undergraduate statistics and data science curricula.
• Ability to teach the full range of undergraduate statistics courses and the Data Analytics and Visualization course (DSC 311).
• Demonstrated commitment and/or experience promoting a learning environment that supports the needs of individuals from diverse backgrounds.

 
Desired Qualifications

• Experience and/or expertise with data visualization, simulation, additional programming languages, and/or other statistical methods that add to the breadth of current course offerings.
• Scholarly interests and/or work experience that could foster relationships with local businesses, industries, or government agencies.
• Interest and/or experience with experiential learning opportunities, such as supervision of undergraduate research, internships, service-learning, etc.
• Interest and/or experience in the use of high dimensional data analytics.

 
Application Materials
Interested applicants must submit a letter of application for the position, a curriculum vitae, a statement of teaching philosophy, unofficial graduate transcripts, and a list of three references with complete contact information. Candidates applying for the Assistant Professor position must also submit a statement of research interests, including a trajectory for scholarly work that includes, if possible, the incorporation of undergraduate students.

Additionally, all candidates are expected to submit a personal philosophy on diversity and inclusion and why they are important in higher education. This statement should provide the candidate's unique perspective on their past and present contributions to and future aspirations for promoting diversity and inclusion in their professional/academic career. Work in this area can span the full mission of the institution, including teaching, scholarly activity, and service. In line with the University's Affirmative Action Policy, candidates are not expected to disclose their identity or membership in the diversity statement or other application documents submitted to the search committee. Demographic information is solicited through the application process; however, this data is confidential and not provided to the search committee members.

All application materials should be submitted electronically at https://jobs.nku.edu/postings/11025. Initial review of applications will begin 11/19/2021 and continue until the position is filled. A criminal background check will be required before hiring is finalized. Upon hiring, official graduate transcripts with conferred degrees must be submitted to the Office of the Provost.




Faculty Statistician
Massachusetts General Hospital
Posted October 19, 2021

The Massachusetts General Hospital (MGH) Division of Clinical Research is seeking qualified applicants with doctoral degrees in Biostatistics or a related field for a faculty level position in Biostatistics. Successful candidate(s) will have excellent oral and written communication skills, a strong methodological background, and interest in collaborating with a team of clinical researchers at MGH and other Harvard-affiliated institutions. Academic appointments at the rank of Instructor, Assistant or Associate Professor at Harvard Medical School will be within the Department of Medicine. Faculty are involved in teaching of medical students, residents, and fellows.
 
Areas of particular interest include one of the following:
 
(1) Observational data including statistical expertise in causal inference, longitudinal data analysis, hierarchical modeling, Bayesian methods, machine learning and missing data methods;
 
(2) Precision medicine and translational science including knowledge of deep learning methods, regularization techniques and causal inference with experience in genomics,
neuroimaging, electrophysiology or other sources of high-dimensional data;   
 
(3) Clinical trials including interest in multi-site phase I – III trials, novel study designs (including group-sequential and adaptive designs), Bayesian methods, survival analysis and longitudinal modeling.
 
MGH is the largest research hospital in the United States with an annual research budget of over one billion dollars. The mission of MGH Biostatistics is to engage in trans-disciplinary collaborations involving quantitative methods in public health and medicine. The Biostatistics team includes over 40 members (19 faculty) who are deeply embedded in collaborative research projects across more than twenty different application domains including Anesthesia, Cancer, Cardiology, General Medicine, Global Health, Neurology, Pediatrics, Psychiatry, Pulmonary and Critical Care Medicine and Surgery. Individuals with an interest in neuro-psychiatric and neuroimaging research are encouraged to apply.
 
Interested candidates should send a cover letter, research statement, three potential referees and Curriculum Vitae to mghbiostat@partners.org. Review of application will begin December 1, 2021 and continue until the position is filled.
 
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.




Assistant Professor (Tenure-Track)
Case Western Reserve University
Posted October 11, 2021

The Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University (CWRU) is searching for at least two tenure-track assistant professors in Statistics to begin in AY 2022/2023. Preference will be given to candidates whose research is in areas of statistics that complement and enhance the existing expertise in the department and who can meaningfully interact with the current group of statisticians, probabilists, and applied mathematicians in the department. This hiring is part of an effort to continue building a statistics group that collaborates with faculty in other fields, including, for example, data science, biology, physics, astronomy, biostatistics, as well as researchers in the Schools of Engineering, Management, and Medicine.

All candidates should hold a Ph.D. in Statistics or a related field by the time of the appointment, have demonstrated teaching/mentoring experience, and have a publication record appropriate to rank. Candidates should submit a letter of application, curriculum vitae, a statement of current and future research plans, a statement of teaching philosophy and experience, and the candidate should arrange for three letters of recommendation to be submitted directly by the writers, at least one of which should address teaching. In addition, applicants are asked to submit a statement explaining how they value diversity, equity, and inclusion within their research and discipline(s) and how their own scholarly work might contribute to structural justice inside and outside institutions of higher learning. This statement should also suggest how the candidate’s work, while as a member of Case Western Reserve University, will contribute to diversity, equity, and inclusion and how moving forward they intend to foster a culture of diversity pluralism, and individual difference.

All application materials should be submitted electronically through the AMS website Mathjobs: https://www.mathjobs.org/jobs/list/18222. Applications will be reviewed upon arrival. All applications received prior to November 1, 2021, will get full consideration.

Case Western Reserve University is located in the University Circle cultural district of Cleveland, Ohio, home of the nationally top-ranked Cleveland Clinic, internationally famous Cleveland Orchestra, the Cleveland Museum of Art, the Cleveland Institute of Music, and the Cleveland Institute of Art. Within a five-mile radius from CWRU are the nation's second largest theater district, several professional sports teams, a wide range of musical, artistic, and culinary venues, recreational opportunities, and numerous diverse communities in which to live.

In employment, as in education, Case Western Reserve University is committed to Equal Opportunity and Diversity. Women, veterans, members of underrepresented minority groups, and individuals with disabilities are encouraged to apply. As a recipient of the national Higher Education Excellence in Diversity (HEED) award for the past nine years, CWRU has been recognized nationally as a leader in advancing equity and inclusivity. The university and the College of Arts & Sciences at CWRU are committed to creating an inclusive community where all are welcome, valued and heard.

Case Western Reserve University provides reasonable accommodations to applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the Office of Equity at 216.368.3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicant will be made on a case-by-case basis.

General correspondence about this position should be sent to Jenny Brynjarsdottir, Search Committee Chair at jenny.brynjarsdottir@case.edu.




Chair and Professor of Biostatistics
University of Pittsburgh
Posted October 11, 2021

The University of Pittsburgh Graduate School of Public Health is accepting applications for the position of Tenured Professor & Chair of the department of Biostatistics. Founded in 1948, Pitt Public Health spans seven academic departments, with nearly 650 students and 500 combined faculty and staff. 

The department of Biostatistics maintains an active program in the development of statistical methodology and the application of statistical and computation approaches via collaborative public health and health sciences research projects.  The Chair will lead the faculty, staff and students and is expected to bring a compelling vision and effective leadership and management skills to the cultivation and innovation of fundamental methodologic advances and also the robust application of biostatistical and computational techniques to the rapidly expanding use of biomedical data.

The strengths of department faculty include interrogating complex, high-dimensional datasets to address questions of basic biomedical science and discovery, computational biology, precision medicine, novel and traditional clinical trials, comparative effectiveness research, mobile health, disease modeling, and population health. Home to prominent research centers such as NRG Oncology Statistics and Data Management Center, UPMC Hillman Cancer Center Biostatistics Core, and Center for Occupational Biostatistics and Epidemiology, the department of Biostatistics has a major research efforts in chronic diseases including cancer, mental health, liver diseases, large-scale clinical trials, and the study of health problems specific to urban and industrial environments. The department is also committed to training the next generation of biostatisticians and health data scientists from diverse backgrounds and recently modernized the curriculum by introducing two new concentrations for the MS degree, (i) Health Data Science and (ii) Statistical and Computational Genomics, to complement the existing MS and PhD programs. 

The new Biostatistics Chair is expected to play a prominent role in the regional biomedical, healthcare and public health systems, and community practice by leveraging the academic community’s many strengths and resources including of biostatisticians and data scientists across the other schools of the health sciences (Medicine, Nursing, Dental Medicine, Pharmacy, Health and Rehabilitation Sciences) and in the VA Pittsburgh Healthcare System. The new Chair is also expected to play a key role in the expansion of interdisciplinary research and collaboration by promoting an intellectual space that supports diverse perspectives and innovative approaches. 

The ideal candidate will possess the following characteristics: 

• An outstanding track record of expertise through grants, publications, mentoring and engagement in biostatistics and/or health data science for the advancement of biomedical and public health sciences. 
• A demonstrated commitment and record in Diversity, Equity, Inclusion and Engagement through grants, advances in faculty and student achievement and expertise working with diverse populations. 
• Experience in and commitment to the development and oversight of contemporary educational programs to train the next generation of biostatisticians and health data scientists (masters, PhD, postdoc, and faculty).
• A successful record of leadership, management, effective public relations, community outreach and/or fundraising through vision, implementation, and evidence-based evaluation.
• A strategic vision for short- and long-term development of the department that supports the goals of Pitt Public Health and the University of Pittsburgh and reflects the future of the field.
• The ability to maintain a vigorous program of independent statistics and/or data science public health research.
• A commitment to fostering leadership or co-leadership roles within the department faculty in interdisciplinary collaboration initiatives related to health data science. 
• Demonstrated success in the mentoring and training of junior faculty members in helping them to obtain grants/funding and achieve career growth. 
• A shared commitment to the core values of communication, collaboration, innovation, action, and equity.
• Experience in creating a collaborative, positive, and productive work environment for all personnel including faculty, staff, and students.

The Chair is a full-time faculty position. Candidates (PhD, DrPH, MD or equivalent) must have a distinguished record of research, teaching, practice, service, and academic accomplishments that meet the criteria of tenured professor level, including an advanced degree in statistics, biostatistics, or other quantitative science.  Formal training in public health (undergraduate, graduate, and/or post doc) is preferred. Experience in administration of externally supported research and training centers is desirable. Resources are available for intra-departmental program development, faculty recruitment, and cross campus collaborations.  

Salary is competitive and commensurate with experience and qualifications.  Candidates from historically underrepresented groups are encouraged to apply. Review of applications will begin on 11/1/21 and continue until the position is filled. Applicants should apply through requisition #21007045 at www.join.pitt.edu. Candidates should submit a letter of interest that addresses motivation to apply and summarizes professional accomplishments, a one-page DEI effort and vision statement, and curriculum vitae.

For further information and details about the department visit https://www.publichealth.pitt.edu/biostatistics. 

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity, EOE, including disability/vets.





Assistant Professor (Tenure-Track)
University of Pittsburgh
Posted October 11, 2021

The Department of Biostatistics in the Graduate School of Public Health (GSPH) at the University of Pittsburgh seeks applicants for a tenure-track assistant professor position, to begin in fall 2022 or earlier.

The Department, founded in 1949 as one of the original departments of the School, currently consists of 19 primary and 19 secondary faculty members. The department conducts cutting-edge independent (methodological, applied, and collaborative) research on a wide range of topics stemming from real world applications in biomedical sciences. The Department has thriving MS and PhD programs consisting currently of approximately 40 fully funded PhD students and 30 MS students. Our alumni hold faculty positions at major academic institutions, government agencies, and leading industries. The University of Pittsburgh ranks among the top five universities in the country in terms of NIH-funded research.

We seek applicants with a doctoral degree in Biostatistics/Statistics or related fields who have a strong commitment to teaching, independent methodological/applied research and collaborative research. We are interested in candidates with research expertise in the areas of high-dimensional data, imaging data, electronic health records, Bayesian methods, machine learning, causal inference, and clinical trials. Besides teaching and mentoring graduate students, this new faculty member will conduct clinical and translational cancer research at the NRG Oncology Statistical and Data Management Center.  NRG Oncology is a National Cancer Institute funded Cancer Clinical Trials Cooperative group that conducts practice-defining, multi-institutional clinical trials with emphases on gender-specific malignancies including gynecologic, breast, and prostate cancers and on localized or locally advanced cancers of all types.  New PhDs and postdoctoral fellows are encouraged to apply. Salary will be commensurate with the candidate’s credentials.

Candidates should submit a letter of application, a statement of teaching philosophy and research interests, a curriculum vitae, and a diversity statement. Candidates should also arrange for three reference letters to support their application. Please apply for this position through requisition #21006614 at join.pitt.edu. Review of applications will begin on November 1, 2021, and continue until the position is filled. The University of Pittsburgh is an Affirmative Action/ Equal Opportunity Employer and values equality of opportunity, human dignity and diversity, EOE, including disability/vets.





Survey Sampling Statistician
Fors Marsh Group
Posted October 11, 2021

At Fors Marsh Group (FMG), we combine the power of science and strategy to improve people’s lives. Each day, we work with institutions and organizations that seek to disrupt markets, understand and influence behavior, drive action on a national scale, and create a positive impact. Our approach extends far beyond our client portfolio—as a certified B Corporation and a 2020 Greenbook Top 50 Market Research Company, we make a difference in our community through corporate-sponsored employee volunteer programs and pro bono partnerships with values-aligned nonprofits. Most importantly, as a 2019, 2020, and 2021 Top Workplace, we are committed to putting people first and foster a culture that reflects that commitment. We are proud to be an equal opportunity employer, and we celebrate diversity and inclusivity as the foundation of a healthy, successful, and innovative work environment. Join us, and together we can work to ensure a better tomorrow.

FMG is seeking an experienced and motivated Survey Sampling Statistician to work as part of a team primarily focused on research methods and data analysis. This individual’s primary responsibility will be to provide methodological and statistical support for surveys designed and executed specifically for our clients.  

Responsibilities include:

• Executing sampling and weighting plans for various probability and non-probability survey efforts ranging from large national surveys to smaller survey efforts targeting specific populations.

• Applying sophisticated principles in the fields of survey methodology, sampling, survey statistics, and/or other social science disciplines to, conduct and analyze complex national surveys.

• Preparing technical reports, presentations, and executive summaries.

• Advancing the reputation of our organization through participation at professional conferences, publication of research studies, and continued technical training.

• Participating in project meetings and assisting project managers with development of research projects.

• Serving both internal and external clients as a resource for sampling-and-weighting related statistical support in the form of addressing concerns, questions, and requests pertaining to existing sampling and weighting designs.

• Analyzing and presenting results for survey data.

 

Qualifications:

• Bachelor’s degree in survey research, statistics, social sciences or a related field with emphasis on Survey Methodology required (graduate degree highly preferred). Coursework should have included the completion of at least one formal sampling theory course and one probability theory course offered in a department of statistics or mathematics.

• Prefer 3 years of professional work experience with sample design and sampling implementation, weighting, non-response analysis/adjustments, missing data techniques, questionnaire design, and assessing/minimizing survey bias, variance and error.

• Ability to work effectively independently and as team member.

• Experience with the statistical software packages SAS, Stata, R, SPSS, and Microsoft Office computer software applications.

• Excellent oral and written communication skills.

• Applicants may be subject to a low-level government security investigation and must meet eligibility criteria for access to sensitive information.

• Applicants must be a United States citizen.

We Offer:

Our benefits typically meet or exceed our competitors’ packages. Ways we are unique?

• Top-tier health, dental, vision, and long and short-term disability coverage all covered at 100% for employee coverage.

•  Remote work 

• Our company culture, which values balance. We work around our personal realities while always accomplishing what’s expected of us.

• We provide a floating holiday bank so you can celebrate the days you value.

• Generous matching retirement contributions and no vesting period in your third month of employment.

• Dedicated training and development budgets to expand your expertise and grow your skillset.

• You can volunteer your way with paid time off.

• You can participate in FMG staff-led affinity groups.

• Our employees receive product and service discounts through the certified B Corp network.
   

Dave Lawson, Office: 571.303.2903
Email: dlawson@forsmarshgroup.com

 

The application is available at this link here. Please view the job description at this link here.

Open-Rank Faculty Position
University of Utah
Posted October 2, 2021

The Department of Family and Preventive Medicine at the University of Utah School of Medicine is seeking exceptional candidates for a statistician or biostatistician faculty position. Rank and track are dependent on qualifications. We seek applications from exceptional individuals in statistics or biostatistics.

Qualified individuals with substantive expertise in the expert integration of statistics with public health, epidemiology, health services research, community-engaged research, mixed methods, translational science, clinical research, and implementation science research are strongly encouraged to apply.

This faculty position is primarily dedicated to conducting extramurally-funded research as either a co-investigator or principal investigator, but will also provide opportunities for teaching and leadership for educating graduate biostatistics students, involvement in administration/service, and collaborative research/statistical consulting. Leadership opportunities include the Director of the Biostatistical Support Unit within the Department. The successful candidate will have opportunities for collaboration with the broader biostatistics community at the University of Utah through affiliation with the Division of Biostatistics in the Department of Population Health Sciences and through membership in the Study Design and Biostatistics Center (SDBC) of the University of Utah’s Clinical and Translational Science Awards (CTSA) Program.

Candidates should possess a doctoral degree in statistics or biostatistics from an accredited institution of higher education. Candidates interested in positions on the tenure track are expected to demonstrate excellent potential (Assistant Professor) or a track record (Associate/Full Professor) of obtaining extramural funding to advance their research program. Excellent interpersonal, written, and oral communications skills in English are necessary.

Faculty rank and salary level is competitive and commensurate with experience. The position offers opportunity to collaborate with teams of highly successful researchers in the department as well as in the University of Utah Health Sciences, including the Rocky Mountain Center for Occupational and Environmental Health, Huntsman Cancer Institute, the Salt Lake City Veteran’s Affairs Center of Innovation, the Woman and Child Institute, the Utah Genome Project/Precision Medicine, Cardiovascular Research Center, the Diabetes-Metabolism Research Center, and the Center for Clinical and Translational Sciences. Additional collaborative opportunities are available across the University of Utah in areas such as psychology, sociology, business, social work, engineering, anthropology, economics, etc.

Additional preferred qualifications

• Postdoctoral or fellowship research training
• Strong record of peer-reviewed publications
• Strong record of obtaining extramural research funding
• Demonstrated ability to work independently and collaboratively on concurrent research projects
• Excellent interpersonal, written, and oral skills

 
The Department of Family and Preventive Medicine was founded in 1970 making it one of the oldest and most established family medicine departments in the country. Currently ranked #2 in NIH funding in the 2020 Blue Ridge Institute for Medical Research report, the Department comprises four complimentary Divisions: Public Health, Physician Assistant Studies, Family Medicine, and Occupational and Environmental Health. The Department offers eight different graduate degrees, teaches medical students, and trains residents in Family Medicine and Occupational and Environmental Medicine. The Department of Family and Preventive Medicine optimizes quality of life through scholarship that advances health and well being in home, workplaces, and communities. We value intellectual curiosity, respectful working environment, integrity, collaboration, accountability, and excellence.

The University of Utah was founded in 1850, is a member of the PAC-12, is ranked as one of the top US public research universities and is particularly distinguished in medicine, genetics, and engineering. Located in Salt Lake City adjacent to the beautiful Wasatch Mountains, the University of Utah is the flagship institution of higher learning in Utah, serving over 31,000 students, including over 2,000 international students and scholars from over 114 different countries.

Candidates should submit a cover letter and curriculum vitae, along with the completed application. The online application is available at: https://utah.peopleadmin.com/postings/120824

Please contact Alex Lenzen, at alex.lenzen@.utah.edu with any questions regarding this posting.





Assistant Professor (Tenure-Track)
Wellesley College
Posted October 2, 2021

The Department of Mathematics at Wellesley College invites applications for a tenure-track position in statistics at the rank of Assistant Professor. The position offers a competitive salary/benefits package, financial support for research, and a four course annual teaching load, beginning July 1, 2022. The new hire will become the third statistics faculty member in the department, supporting the statistics minor and collaborating to develop this curriculum further with faculty from across campus. 

Wellesley College is a highly selective liberal arts college for women with over 2000 students (http://www.wellesley.edu). Our bucolic campus featuring a new Science Complex is located in the town of Wellesley, within commuting distance of the vibrant city of Boston. The College offers housing support that includes the option of faculty housing in the town of Wellesley. Our faculty is passionate about teaching, research, and being part of the Wellesley College community. 

Wellesley’s statistics curriculum has expanded rapidly in recent years, and student enthusiasm is high. The new hire will join an interdisciplinary community of data-focused faculty and students driving the future of statistics at the college, including through the math department's statistics courses and minor, the evolving data science program, and the college's Quantitative Analysis Institute. 

A special strength of Wellesley is our diverse student body: 52 percent of the class of 2023 identify as students of color; students come from all 50 states and 87 countries; 18% identify as first-generation college students; and almost 60% of our students receive financial aid. The Mathematics Department is devoted to improving equity, enhancing student experiences of community, engagement and belonging, and increasing the diversity of the department, college community, and the curriculum. We believe that the diversity of students and faculty is central to our shared intellectual growth and development. We are committed to respecting the identities, abilities, educational backgrounds, and aspirations of all our students. 

Applicants should have a Ph.D. in Statistics or Biostatistics and provide strong evidence of excellence in teaching and research. The strongest candidates will have already established an excellent and ongoing research program with strong potential for future progress. Our expectation is that the successful candidate will excel at teaching and mentoring students who are broadly diverse with regard to race, ethnicity, socioeconomic status, nationality, sexual orientation, and religion. Applications should be submitted online through MathJobs and should include a cover letter, a curriculum vitae, a short description of research (written for non-specialists), a statement of teaching interests and experience, and three letters of reference, at least one of which discusses teaching. The cover letter should address how the candidate sees him/herself contributing to the College’s pursuit of Inclusive Excellence through their research, teaching, and service. Candidates with demonstrated commitment to and familiarity with inclusive pedagogies are strongly encouraged to apply. 

Wellesley College is an Affirmative Action/Equal Opportunity Employer committed to Inclusive Excellence, and we encourage persons of all genders, persons of color, and persons with disabilities to apply. The college is committed to enriching its educational experience and its culture through the diversity of its faculty, administration, and staff. 

To ensure full consideration, all application materials should be received by October 4, 2021. Questions can be sent to Stanley Chang, Chair of the Department of Mathematics (schang@wellesley.edu). 

Open-Rank Faculty Position
Memorial Sloan Kettering Cancer Center
Posted October 2, 2021

Memorial Sloan Kettering Cancer Center Department of Epidemiology and Biostatistics is seeking a doctoral-level biostatistician to fill an open-rank faculty position. The individual will have the opportunity to pursue independent research interests, use modern analytic and computational methods while collaborating with investigators studying the full spectrum of problems in cancer research, and become a leader throughout the institution and the oncology community in cancer research methods. The ideal applicant must have a strong commitment to statistical collaborations with medical or basic science investigators, excellent communication skills, and an interest in pursuing independent methodological research.

Successful candidates will join an existing group of 45 biostatisticians (19 faculty and 26 research staff), which include five ASA fellows, editors of leading journals, and presidents of international societies. The current interests of the faculty include methodology for the design and analysis of clinical trials, epidemiologic studies, genomics, latent variable modeling, diagnostic test evaluations, survival analysis, computer intensive methods, hierarchical modeling, and Bayesian techniques (http://www.mskcc.org/biostat).

The department offers exciting opportunities for growth and development at all levels. The position is located in the heart of Manhattan, a vibrant, multi-cultural city that is home to world-class restaurants, museums, and theater. MSKCC offers comprehensive benefits for individuals and family members. Applicants with any level of experience are invited to apply. Send a cover letter, curriculum vitae, and the names and contact information for at least three references to Samantha Vasquez at vasques2@mskcc.org.

MSKCC is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Assistant, Associate, or Full Professor-level (tenure track and non-tenure clinical educator track)
University of Pennsylvania
Posted September 24, 2021

The Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several positions in the Division of Biostatistics at the Assistant, Associate, or Full Professor-level in either the non-tenure clinician educator track or the tenure track. Expertise is required in the specific area of biostatistical methods development and applications, with the ability to establish oneself as a research leader in their area of specialization. Applicants must have a Ph.D. or equivalent degree.

Research or scholarship responsibilities may include statistical methods development and contributions as a statistical leader for collaborative research studies. Candidates with experience in statistical methods for clinical trials, electronic health records, longitudinal data analysis, missing data, imaging statistics with a focus on psychiatric neuroimaging, and causal inference, or an interest in health disparities and health equity, cancer, or pediatric research are especially encouraged to apply. There is a rich mix of ongoing biomedical research programs in the Perelman School of Medicine to provide motivation and opportunities for the development of novel statistical methods on wide-ranging domains of biomedical, clinical, and translational science.

For both tracks, teaching responsibilities may include participation in biostatistics PhD and MS training programs, as well as teaching biostatistics courses in epidemiology, health policy, and other biomedical programs. Candidates are expected to have a strong commitment to teaching and mentoring.

Tenure track applicants will focus primarily on the development of innovative leading-edge statistical methodology, with secondary emphasis on collaborative research projects within the Perelman School of Medicine. For candidates at the Associate or Full Professor-level a demonstrated track record as the principal investigator of methodological research supported by extramural grant funding is required.

Clinician Educator track applicants will focus primarily on collaborative research as co-investigators, with secondary emphasis on methodological research. Applicants who have outstanding productivity in collaborative research, as well as some methodological research, are especially encouraged to apply.

The University of Pennsylvania is a vibrant team-science-oriented environment with elite biomedical research collaborators that is ideal for biostatistical collaboration and application-driven methodological research. The Division of Biostatistics includes over 30 full-time faculty with diverse expertise spanning numerous methodological and biomedical areas, and we have strong, highly ranked, and growing MS and PhD programs in which we train the next generation of innovative quantitative leaders. The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children's Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research.

We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply.

Apply online
Assistant Professor, Tenure Track or Clinician-Educator: apply.interfolio.com/94058
Associate or Full Professor, Tenure Track or Clinician-Educator: apply.interfolio.com/94060

Data Scientist, Operations Research
Eastman Chemical Company
Posted September 23, 2021

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company's innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end-markets such as transportation, building and construction, and consumables. As a globally inclusive and diverse company, Eastman employs approximately 14,500 people around the world and serves customers in more than 100 countries. The company had 2020 revenues of approximately $8.5 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com or see posting here.

Eastman Chemical Company is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other characteristics protected by law.

Eastman is committed to creating a powerfully diverse workforce and a broadly inclusive workplace, where everyone can contribute to their fullest potential each day.

Data Scientist, AI Machine Learning Engineer
Eastman Chemical Company
Posted September 23, 2021

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company's innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end-markets such as transportation, building and construction, and consumables. As a globally inclusive and diverse company, Eastman employs approximately 14,500 people around the world and serves customers in more than 100 countries. The company had 2020 revenues of approximately $8.5 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com or view the posting here.

Data Scientist, Statistician
Eastman Chemical Company
Posted September 23, 2021

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company's innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end-markets such as transportation, building and construction, and consumables. As a globally inclusive and diverse company, Eastman employs approximately 14,500 people around the world and serves customers in more than 100 countries. The company had 2020 revenues of approximately $8.5 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com or view the posting here.

Data Scientist Internship
Eastman Chemical Company
Posted September 23, 2021

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. With the purpose of enhancing the quality of life in a material way, Eastman works with customers to deliver innovative products and solutions while maintaining a commitment to safety and sustainability. The company's innovation-driven growth model takes advantage of world-class technology platforms, deep customer engagement, and differentiated application development to grow its leading positions in attractive end-markets such as transportation, building and construction, and consumables. As a globally inclusive and diverse company, Eastman employs approximately 14,500 people around the world and serves customers in more than 100 countries. The company had 2020 revenues of approximately $8.5 billion and is headquartered in Kingsport, Tennessee, USA. For more information, visit www.eastman.com or view the posting here.

Responsibilities
Job Description: As a Data Scientist at Eastman, you will provide actionable insights using advanced analytics to help people make better and faster decisions. Data scientists work in a centralized department organized into three groups: Applied Statistics, AI/Machine Learning Technology, and Operations Research. Internships for Summer 2022 are available in each of the three groups.The mission of Data Science is to enable Eastman to out-think and out-perform the competition by working with business leaders to apply analytics to the right problems at the right time with the right data. As an intern you will leverage your natural curiosity; understanding of Eastman’s businesses, products, and processes; formal analytical capabilities; and skills in utilizing structured and unstructured data sources to provide insights to key decision makers across the company. A typical client engagement could include applications of data mining, design of experiments, forecasting, multivariate analysis, optimization modeling, predictive modeling, simulation, statistical process control, or text analytics, depending on the team assignment.An intern will typically work as part of one or more project teams, contributing to active analytics projects in ways that match their skills and capabilities. An intern may also work on solo projects, either for clients or for enhancing group capability, depending on their interest in solo work and their ability to carry it out.A typical internship is 12 weeks in duration during the summer months, but some adjustment may be possible based on academic schedules. Internships at Eastman are positions with pay and benefits. 

In this role you will:

Assistant, Associate or Full Professor in Industrial and Manufacturing Systems Engineering
Iowa State University
Posted September 23, 2021

The Department of Industrial and Manufacturing Systems Engineering (IMSE) at Iowa State University invites nominations and applications for two new faculty positions in the department: 1) associate or full professor with a scholarly focus in operations research / data analytics and 2) assistant professor with scholarly focus in any area of industrial engineering.  Both positions are expected to begin in August 2022. The successful applicant will be participating in all aspects of the department’s mission, including developing a strong externally funding research program, teaching and supervising students at the undergraduate and graduate levels, and participating in service to the university and profession.
 
Required Qualifications for Position 1 (associate or full professor)

• Ph.D. or equivalent degree in industrial engineering or a closely aligned field
• Scholarly accomplishments commensurate with qualifications for the rank at Iowa State University

Preferred Qualifications for Position 1 (associate or full professor)   

• Research and teaching interests in operations research/data analytics
• Evidence of prominent national/international stature
• Evidence of collaboration and scholarly leadership in research and education
• Evidence of commitment to diversity/inclusivity

 
Required Qualifications for Position 2 (assistant professor)

• Ph.D. or equivalent degree in industrial engineering or a closely aligned field

Preferred Qualifications for Position 2 (assistant professor)

• Evidence of collaboration and leadership potential in research and education
• Evidence of the potential for prominent national/international stature
• Evidence of commitment to diversity/inclusivity
• Research and teaching interests in an area related to industrial engineering

To apply, please submit your application and all materials electronically at the following link:
Position 1: Associate or Full Professor (or https://isu.wd1.myworkdayjobs.com/IowaStateJobs; Search for R6182)
Position 2: Assistant Professor (or https://isu.wd1.myworkdayjobs.com/IowaStateJobs; Search for R6184)
 
The following documents are required to be submitted in PDF format:

1. Letter of Application that includes:
   1. text that addresses each of the required and preferred qualifications
   2. text that addresses any COVID-19 related challenges that may have impacted your scholarly productivity
2. Resume/Curriculum Vitae
3. Other Documents (must be submitted as one combined PDF)
   1. Statement of Teaching Interests and Philosophy
   2. Statement of Research Interests and Research Plan
   3. Statement of Activities Related to Diversity, Equity, and Inclusion

 
Applications will be accepted until the position is filled. However, to receive full consideration, applications should be received by October 10, 2021.
 
If you have questions regarding this vacancy, please email Professor Gary Mirka (mirka@iastate.edu), chair of the search committee. Please visit the following website for more detailed information about the IMSE Department at Iowa State University: www.imse.iastate.edu
 
Iowa State University is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, marital status, disability, or protected veteran status, and will not be discriminated against.




Associate Professor, Anti-racism, Social Justice and Public Health
New York University
Posted September 20, 2021

The NYU School of Global Public Health has established a new Center for Anti-racism, Social Justice & Public Health (CASJPH).  CASJPH is aligned with two key NYU research and education priorities: (1) structural inequality and anti-racism and (2) public health and health equity. Currently, we seek to recruit two tenure-track assistant professors and one associate professor to support the activities of CASJPH. Appointments can be in any of the School’s departments or programs (Bioethics, Biostatistics, Epidemiology, Global Public Health, Public Health Nutrition, Public Health Policy and Management, or Social and Behavioral Sciences), but the candidate’s work must align with the goals of the Center.

The Center for Anti-racism, Social Justice & Public Health is undertaking a sweeping, multifaceted transdisciplinary effort to build a science base that examines racism as a social determinant of health and analyzes policies and social structures, such as residential segregation, that have created racial inequities in education, healthcare, criminal justice, social services, and other areas that can negatively impact health. The CASJPH will advance innovative methods (including community/stakeholder engagement and community based participatory research) and statistical techniques to leverage the power of data to better address the myriad of issues impacting the health of people of color and other marginalized populations in support of collaborative action and concrete policy changes.

We are seeking faculty who will broaden and deepen our efforts in advancing these goals by contributing to a portfolio of research initiatives with the specific focus on advancing conceptual, methodological and empirical paradigms in anti-racism, social justice and public health. In addition to educating and training the next generation of academic leaders and public health practitioners in anti-racist praxis and methods, we are interested in candidates whose research interests align with the goals of CASJPH across multiple public health disciplines (e.g., biostatistics, epidemiology, community health, nutrition, social and behavioral sciences, public health policy). Successful candidates will be expected to conduct original research and/or collaborate with research teams across disciplines, publish peer reviewed papers and seek extramural funding for their research program as needed. Additionally, candidates should show a clear commitment to teaching masters and doctoral students. Candidates will be appointed to a primary department or academic program in the School of Global Public Health based on their expertise.

Qualifications
Qualifications are commensurate with academic rank and include: (1) a PhD or equivalent degree in a public health or related discipline, (2) demonstrated potential or strong record of quality scholarship and extramural funding, (3) strong teaching and mentoring skills, (4) a research agenda that relates to and complements the CASJPH goals, and (5) enthusiasm for collaborating with a multidisciplinary research group.

Candidates at the Assistant Professor level should show evidence of a growing body of outstanding scholarship, research and teaching experience. At the Associate Professor level, candidates should be at early to mid-career stages and show evidence of an existing body of outstanding scholarship, research and teaching experience.

The application for the Associate position can be found here: apply.interfolio.com/90516

If you are interested in applying for the Assistant position, please visit: apply.interfolio.com/92218


Application Instructions
Applicants must submit:

For further information, please contact:
Melody Goodman, Director, Center for Anti-racism, Social Justice & Public Health
Email: melody.goodman@nyu.edu

Rebecca Betensky, Chair of the search committee
Email: rebecca.betensky@nyu.edu

Review of applications will continue until the positions are filled.




Assistant Professor, Anti-racism, Social Justice and Public Health
New York University
Posted September 20, 2021

The NYU School of Global Public Health has established a new Center for Anti-racism, Social Justice & Public Health (CASJPH).  CASJPH is aligned with two key NYU research and education priorities: (1) structural inequality and anti-racism and (2) public health and health equity. Currently, we seek to recruit two tenure-track assistant professors and one associate professor to support the activities of CASJPH. Appointments can be in any of the School’s departments or programs (Bioethics, Biostatistics, Epidemiology, Global Public Health, Public Health Nutrition, Public Health Policy and Management, or Social and Behavioral Sciences), but the candidate’s work must align with the goals of the Center.

The Center for Anti-racism, Social Justice & Public Health is undertaking a sweeping, multifaceted transdisciplinary effort to build a science base that examines racism as a social determinant of health and analyzes policies and social structures, such as residential segregation, that have created racial inequities in education, healthcare, criminal justice, social services, and other areas that can negatively impact health. The CASJPH will advance innovative methods (including community/stakeholder engagement and community based participatory research) and statistical techniques to leverage the power of data to better address the myriad of issues impacting the health of people of color and other marginalized populations in support of collaborative action and concrete policy changes.

We are seeking faculty who will broaden and deepen our efforts in advancing these goals by contributing to a portfolio of research initiatives with the specific focus on advancing conceptual, methodological and empirical paradigms in anti-racism, social justice and public health. In addition to educating and training the next generation of academic leaders and public health practitioners in anti-racist praxis and methods, we are interested in candidates whose research interests align with the goals of CASJPH across multiple public health disciplines (e.g., biostatistics, epidemiology, community health, nutrition, social and behavioral sciences, public health policy). Successful candidates will be expected to conduct original research and/or collaborate with research teams across disciplines, publish peer reviewed papers and seek extramural funding for their research program as needed. Additionally, candidates should show a clear commitment to teaching masters and doctoral students. Candidates will be appointed to a primary department or academic program in the School of Global Public Health based on their expertise.

Qualifications
Qualifications are commensurate with academic rank and include: (1) a PhD or equivalent degree in a public health or related discipline, (2) demonstrated potential or strong record of quality scholarship and extramural funding, (3) strong teaching and mentoring skills, (4) a research agenda that relates to and complements the CASJPH goals, and (5) enthusiasm for collaborating with a multidisciplinary research group.Candidates at the Assistant Professor level should show evidence of a growing body of outstanding scholarship, research and teaching experience. At the Associate Professor level, candidates should be at early to mid-career stages and show evidence of an existing body of outstanding scholarship, research and teaching experience.

The application for the Assistant position can be found here: apply.interfolio.com/92218

If you are interested in applying for the Associate position, please visit: apply.interfolio.com/90516

Application Instructions
Applicants must submit:

Diversity & Inclusion Statement: At NYU we are committed to inclusive excellence.  Inclusion is foundational to scholarly excellence and critical to developing pathways for training students traditionally underrepresented in the academy and/or particular disciplines. The diversity and inclusion statement offers each applicant the opportunity to highlight their past, present, and future contributions to creating inclusive excellence.

We recognize that local contexts vary across departments and disciplines and that contributions to diversity and inclusion may take many forms.  Efforts to cultivate inclusive excellence might include, for example, creating opportunities for students, faculty, and staff traditionally underrepresented in the U.S. academy and/or particular disciplines; public or primary school outreach (particularly to underserved communities); contributions to the diversity of thought and perspective; efforts to increase inclusion and equity at the university or in the local community; as well as one’s own life experience.

Below are a few examples of contributions to inclusion that might be developed in a diversity & inclusion statement.  These are by no means exhaustive.  Your statement might expand on how you have gone about fostering inclusion and building pathways in your discipline by:

• Creating an inclusive and accessible classroom/course (including developing your skills for doing this)
  
• Working with campus organizations that support underrepresented, first-generation, differently-abled or non-traditional undergraduate or graduate students
  
• Developing discipline or area-specific pathways to majors for such students (e.g., women in science)
• Mentoring individual students, faculty or staff from diverse backgrounds
• Training international students or mentoring faculty from developing countries
• Working with your national scholarly organization on diversity, inclusion or equity issues
• Broadening the influence of your work for the public and enhancing underserved communities by participating in K-12 classroom, museums, or other afterschool programming aimed at fostering general education, excitement, and possibility (particularly in underserved populations)
• Providing apprenticeships and internships for pre-college students
• Participating in prison education or other adult education programs that serve under-resourced populations
• Developing educational programming through the media or social media
• Bringing results of research back to local or international communities
• Participating as a ‘public intellectual’ on timely issues
• Engaging in community activities around education, social justice, equity, and inclusion.

For further information, please contact:
Melody Goodman, Director, Center for Anti-racism, Social Justice & Public Health
Email: melody.goodman@nyu.edu

Rebecca Betensky, Chair of the search committee
Email: rebecca.betensky@nyu.edu

Review of applications will continue until the positions are filled.




Assistant Professor of Statistical & Data Sciences
Smith College
Posted September 19, 2021

The Statistical & Data Sciences Program at Smith College invites applications for a tenure-track position in Biostatistics at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Biostatistics, Statistics, or a closely-related discipline is expected by the time of appointment. Candidates from any field in Biostatistics are encouraged to apply. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year. Teaching responsibilities for this position will regularly include introductory statistics, as well as intermediate and advanced-level courses in their area of interest, for example multiple regression, design and analysis, and public health. Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Statistical and Data Sciences Program may be found at http://www.smith.edu/sds. For more information contact Prof. Randi Garcia rgarcia@smith.edu; to apply visit http://apply.interfolio.com/93173. Review of applications will begin on October 8, 2021. EO/AA/Vet/Disability Employer. 




Assistant Professor of Statistical, Mathematical, and Data Sciences
Smith College
Posted September 19, 2021

The Program in Statistical & Data Sciences and Department of Mathematics & Statistics at Smith College jointly invite applications for a tenure-track position at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Statistics or a relevant field is expected by the time of appointment. Candidates should have a strong foundation in both mathematics and statistics and candidates with experience in Bayesian statistics, high-dimensional data analysis, and machine learning are particularly encouraged to apply. The position has a teaching load of two courses per semester. Teaching responsibilities for this position will regularly include introductory and advanced courses in statistics and mathematics.  Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Program in Statistical & Data Sciences may be found at https://www.smith.edu/academics/statistics and details about the Department of Mathematics & Statistic may be found at https://www.smith.edu/academics/mathematics-statistics. For more information contact Prof. Katherine M. Kinnaird kkinnaird@smith.edu; to apply visit http://apply.interfolio.com/93965. Review of applications will begin on October 15, 2021. EO/AA/Vet/Disability Employer.  




MassMutual Assistant Professor of Statistical & Data Sciences
Smith College
Posted September 19, 2021

The Program in Statistical & Data Sciences at Smith College invites applications for a tenure-track position at the rank of Assistant Professor, to begin July 1, 2022. Ph.D. in Statistics, Computer Science, Information Sciences, Mathematics, or a related field. The position has a teaching load of 2:2 -- i.e., four semester-long courses over the academic year. Teaching responsibilities for this position will regularly include introductory data science, as well as intermediate, advanced, and capstone courses in data science.  Candidates from groups underrepresented in STEM are encouraged to apply. Details about the Statistical and Data Sciences Program may be found at http://www.smith.edu/sds. For more information contact Prof. Albert Y. Kim akim04@smith.edu; to apply visit https://apply.interfolio.com/94358. Review of applications will begin on October 22, 2021. EO/AA/Vet/Disability Employer.




Postdoctoral Associate - Anti-racism, Social Justice & Public Health
New York University
Posted September 19, 2021

Position Description
The NYU School of Global Public Health has established a new Center for Anti-racism, Social Justice & Public Health (CASJPH).  CASJPH is aligned with two key NYU research and education priorities: (1) structural inequality and anti-racism and (2) public health and health equity. Currently, we seek to recruit a postdoctoral associate to support the activities of CASJPH under the mentorship of Dr. Melody Goodman.

The Center for Anti-racism, Social Justice & Public Health is undertaking a sweeping, multifaceted transdisciplinary effort to build a science base that examines racism as a social determinant of health and analyzes policies and social structures, such as residential segregation, that have created racial inequities in education, healthcare, criminal justice, social services, and other areas that can negatively impact health. The CASJPH will advance innovative methods (including community/stakeholder engagement and community based participatory research) and statistical techniques to leverage the power of data to better address the myriad of issues impacting the health of people of color and other marginalized populations in support of collaborative action and concrete policy changes.

We are seeking a postdoctoral associate who will broaden and deepen our efforts in advancing these goals by contributing to a portfolio of research initiatives with the specific focus on advancing conceptual, methodological and empirical paradigms in anti-racism, social justice and public health. In addition to educating and training the next generation of academic leaders and public health practitioners in anti-racist praxis and methods, we are interested in candidates whose research interests align with the goals of CASJPH. Successful candidates will be expected to conduct original research and/or collaborate with research teams across disciplines, publish peer reviewed papers and seek extramural funding for their research program as needed. Additionally, candidates should show a clear commitment to teaching masters and doctoral students.

Appointments are for two years, beginning in September 2021 and ending in August 2023. The associate will teach a maximum of one course per year, participate in school and departmental activities, and have mentorship opportunities to prepare them for an academic career.For further information, please contact: Melody Goodman, Director, Center for Anti-racism, Social Justice & Public Health Email: melody.goodman@nyu.edu Review of applications will continue until the position is filled.

Qualifications
Qualifications include:
(1) have completed dissertation within the last three years or will have completed dissertation by September 1, 2021
(2) PhD or equivalent degree in statistics, survey research, public health or related discipline,
(3) demonstrated potential or strong record of quality scholarship and extramural funding,
(4) strong teaching and mentoring skills,
(5) a research agenda that relates to and complements the CASJPH goals, and
(6) enthusiasm for collaborating with a multidisciplinary research group.

Diversity & Inclusion Statement: At NYU we are committed to inclusive excellence. Inclusion is foundational to scholarly excellence and critical to developing pathways for training students traditionally underrepresented in the academy and/or particular disciplines. The diversity and inclusion statement offers each applicant the opportunity to highlight their past, present, and future contributions to creating inclusive excellence.

We recognize that local contexts vary across departments and disciplines and that contributions to diversity and inclusion may take many forms. Efforts to cultivate inclusive excellence might include, for example, creating opportunities for students, faculty, and staff traditionally underrepresented in the U.S. academy and/or particular disciplines; public or primary school outreach (particularly to underserved communities); contributions to the diversity of thought and perspective; efforts to increase inclusion and equity at the university or in the local community; as well as one’s own life experience.

Below are a few examples of contributions to inclusion that might be developed in a diversity & inclusion statement. These are by no means exhaustive. Your statement might expand on how you have gone about fostering inclusion and building pathways in your discipline by:

Employment is contingent upon eligibility to work in the United States.
Application Instructions

Applicants must submit:

Associate or Full Professor (Teaching) level in Data Science
Stanford University
Posted September 9, 2021

The Statistics Department at Stanford University invites applications for a position at the Associate or Full Professor (Teaching) level in Data Science. The initial appointment for either rank is up to 6 years. The Associate Professor (Teaching) term is renewable for an unlimited number of 6-yr terms or for a continuing term, which provides security of appointment without requiring further formal reappointment.  The Professor (Teaching) term is renewable for a continuing term.  
 
Decisions on reappointment and promotion, like decisions on initial appointment, are subject to the exercise of professional and scholarly judgment and discretion by the university’s departmental faculty and academic leadership.
 
Candidates must hold a Ph.D. in a relevant area such as Statistics, Computer Science, or the social sciences, and be recognized for distinguished contributions to the teaching and practice of Data Science. The successful candidate will be expected to maintain a robust program in Data Science that includes teaching an introductory data science course and, depending on the candidate’s background and interests, may include mentoring students in the practice of data science or research.
 
Applicants should submit a letter of application, curriculum vita, a statement (not to exceed 3 pages) of interests in teaching, research, and practice, course evaluations, and not more than one preprint/reprint about the candidate’s work in one of these areas.  Applications should be submitted online at https://academicjobsonline.org/ajo/jobs/19298. Questions may be submitted to search@stat.stanford.edu.
 
Evaluation of applicants will begin November 16, 2021.  Applications must be received by December 11, 2021 to be guaranteed consideration.
 
The successful candidate will play a major role in the new undergraduate interdisciplinary Data Science degree which will be offered jointly by the Departments of Statistics, Computer Science, Mathematics, and Management Science and Engineering. The position will be housed in the Statistics Department, which currently has 25 regular faculty members, as well as a distinguished group of emeriti. Many professors have joint appointments in other departments, including positions in mathematics, economics, the School of Medicine, the School of Engineering, and the School of Education. 
 
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.




Stein Fellow Position (non-tenure track) 
Stanford University
Posted September 4, 2021

The Statistics Department seeks applicants for a non-tenure track Stein Fellow position, for two years with possible extension to three years.

The Stein Fellowship is designed to be a career building step for new scholars. Our intention is to develop the next generation of leaders in statistics and related disciplines by offering a unique opportunity for the best young scholars to develop their expertise in both teaching and research.  Opportunities will be offered for the fellow to participate in some of the department's on-going research projects on statistical theory & methods as well as their applications to diverse subject areas. The Stein Fellow will have a light teaching load -- two one-quarter courses will be taught each academic year.

Applicants should have demonstrated strong research and teaching abilities. A Ph.D. in Statistics or a related area is required. Applicants should submit a letter of application, curriculum vitae, a statement of research and teaching interests, graduate transcripts, not more than one preprint/reprint, and arrange for three letters of recommendation to be submitted. Applications and letters should be submitted online at https://academicjobsonline.org/ajo/jobs/19235. Questions may be submitted to search@stat.stanford.edu.

Evaluation of applicants will begin November 15, 2021.  Applications must be received by December 10, 2021 to be guaranteed consideration.

The Stanford Statistics Department currently has 25 regular faculty members, as well as a distinguished group of emeriti. Many professors have joint appointments in other departments, including positions in mathematics, economics, the School of Medicine, and the School of Engineering.  The varied research in the department integrates core statistical theory, mathematics, computing, algorithms, and applications to many scientific disciplines.  More information on the department can be found on its website: https://statistics.stanford.edu.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Assistant Professorship in Statistics and Data Science
Loyola Marymount University
Posted August 18, 2021

The Mathematics Department of Loyola Marymount University invites applications for a tenure-track position at the Assistant Professor level beginning Fall 2022. Responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. Applicants are expected to have completed a Ph.D. or comparable terminal degree in statistics, operations research, mathematics, or a related field by August 15, 2022.
The Mathematics Department, housed within Loyola Marymount University’s College of Science and Engineering, is an inclusive community of 19 full-time faculty members and approximately 60 mathematics majors, 40 minors, and 15 Master of Arts in Teaching students. The department offers several Bachelor’s degree options and minors, including both a Bachelor of Science and a minor in Statistics and Data Science.

Faculty in the department work in many areas of pure and applied mathematics, statistics, and data science, in an atmosphere of mutual respect and collaboration. Additional information about the LMU Mathematics Department is available online at cse.lmu.edu/department/math. Faculty responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. The normal teaching load is 9 units per semester, with a reduced teaching load in the first two years.

The successful candidate will have expertise in statistics, data science, or a related field. LMU is committed to broadening the participation of students in STEM fields, and LMU’s environment offers many opportunities for collaborative research, teaching, and service that actively inform and improve equity and social justice. Applicants should include a statement describing their experience, demonstrated ability, and/or interest in promoting inclusion and diversity in the mathematical sciences. Candidates with experience in such efforts are encouraged to highlight this in their application.

Salary is competitive and commensurate with background and experience. LMU provides comprehensive benefit offerings and robust support for faculty. For more information about our programs visit admin.lmu.edu/hr/totalrewards/benefits and academics.lmu.edu/ofd/newfacultyorientation which links to the latest Faculty Resource Guide. Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state, and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. Please read more about our commitments and our efforts at https://resources.lmu.edu/officeofinterculturalaffairs/ .

A complete application consists of a cover letter, curriculum vitae, statement on inclusion and diversity, statement on teaching experience and philosophy, a description of the applicant’s current scholarship program, and three letters of recommendation, at least one of which addresses the applicant’s teaching. Screening of applications will begin October 15, 2021. Apply online at mathjobs.org. Please address questions to Professor Ben G. Fitzpatrick, Hiring Committee Chair, at Ben.Fitzpatrick@lmu.edu.




Course Product Manager: Statistics
Lumen Learning
Posted August 15, 2021

Lumen Learning is a young, growing company looking to add to our course development team and expand our capacity to support customers at institutions across North America. We are seeking individuals that can take ownership of a set of courses with a balance of success, humility, and collaboration.

We are doing something that has not been done before. We’re using technology, learning design informed by data, and openly licensed content to enable unprecedented learning results and opportunities for all students, regardless of economic background.

Every day our work requires creativity, discipline, drive, teamwork, and immense flexibility. Check out our company values to better understand how we embrace openness, commitment, creativity and generosity. If you’re a fit and if you want to work on something really important with other amazing people who exemplify those values, get in touch.
We offer a great benefits package including flexible time off, work autonomy, 401k matching, and health benefits. Lumen is proudly based in Portland, Oregon.

The Course Product Manager Position

As a Course Product Manager, you’ll actively participate in designing, building, evaluating, and continuously improving Lumen’s courseware. You’ll also provide remarkable support to Lumen’s customers to ensure that they are highly successful in adopting and using our courses.

We are choosy about the people we ask to join us—we’re looking for creative and optimistic problem solvers who naturally collaborate, don’t require a lot of direction, and increase the diversity of the team.

While this may change over time depending on evolving courseware needs and priorities, we expect this position to have a strong statistics focus and so are looking for a statistics enthusiast to help us create exceptional college level statistics course materials, closely collaborating with the other math focused members of our team. This position is a key contributor to work funded by the Bill and Melinda Gates Foundation that is focused on eliminating the historic achievement disparities experienced by Black, Latinx, and Indigenous students, as well as students from low income backgrounds  This position is a member of the Learning Team, reporting to our Director of Course Development.

Key Responsibilities
Using Lumen’s course design process and tools, create and enhance open courseware that consistently supports effective student learning

• Improve existing courses: review licensing, map and align learning outcomes, identify additional resources such as OER interactives; edit course content.
• Develop new courses: adopt and adapt OER (course content, images, assessments, etc.), adding original content where needed. Work with instructional designers and faculty to develop cohesive, well-aligned courses.
• Participate in data-driven iterative improvement to enhance courses based on analytics showing where students struggle.

Center Black, Latinx, and Indigenous students, as well as students from low-income backgrounds, in your course designs in order to eliminate historic disparities in academic achievement

• Improve existing courses and create new courses in ways that reflect a deep understanding of the varying needs, desires, and interests of Black, Latinx, and Indigenous students, as well as students from low-income backgrounds
• Collaborate across Lumen and with organizational partners to bring the voices, experiences, and interests of Black, Latinx, and Indigenous students, as well as students from low-income backgrounds, directly into Lumen courseware
• Collaborate with Lumen’s Research and Continuous Improvement team to continuously measure and improve the performance of Black, Latinx, and Indigenous students, as well as students from low-income backgrounds, using Lumen courseware
• Be an effective advocate within Lumen and with Lumen’s partners for the varying needs, desires, and interests of Black, Latinx, and Indigenous students, as well as students from low-income backgrounds

Lead multi-disciplinary teams of faculty, data scientists, instructional designers, and assessment experts in the course creation and improvement process.

• Successfully manage the timely contributions of faculty and other team members with competing priorities in their real jobs
• Project manage multiple course creation and course improvement projects to successful completion within time and budget

Use our customer service platform to provide amazing support to faculty

• Provide timely responses to all requests and questions, and achieve timely resolution of issues
• Demonstrate empathy, understanding the challenges of faculty and supporting each faculty member to do their best teaching

Train and educate faculty members in the use of open courseware that supports effective teaching and learning

• Contribute to the creation of training materials to educate faculty on using our courseware
• Deliver training materials to faculty, either remotely or via face-to-face workshops

Be an exceptional team member

• Proactively share the skills and knowledge that you’ve gained with other members of the team and encourage others to share their expertise with you, so that the collective team can continue to grow and succeed
• Embody the company values in all interactions with employees, customers, partners, and community members

Other responsibilities

• Participate in special projects identified by the Lumen team as opportunities to effect change at a single institution, across an entire system, or across the broader educational landscape
• Participate in and facilitate the growth of the Lumen customer community, building meaningful connection points for faculty members who are seeking a peer community
• This position requires occasional travel

About You

• You respect and enjoy working with the people, organizations, and stakeholders unique to the higher education sector.
• You are a hands-on and motivated individual that is capable of working in a fast paced environment to deliver high quality products to our customers.
• You have excellent time management, interpersonal, problem solving, organizational and technical skills.
• You demonstrate initiative, adaptability and manage dependencies and expectations while effectively communicating with all stakeholders.
• You are team-oriented, communicate clearly and effectively, and demonstrate the ability to work well with others in a creative and collaborative environment.
• You bring empathy to your job. You care about how your work and your attitude affect those around you: if you hurt someone, it hurts you. Everything you do runs through this filter.
• You’re an informed champion of the products you support. You’re enthusiastic about using them and understanding how they work inside and out, and you seek to improve them.
• You enjoy communicating with customers. You know it’s essential to listen and understand before being heard. You strive for transparency and communicate with tact. You also know how to adapt your style to different kinds of customers – from those that want to be your best friend, to those that just want the problem solved.
• You’re extremely reliable. Everyone knows that when you take on a task—whether it’s huge and scary or tiny and boring—you’re going to see it through to the best of your ability.
• You like to have fun with your work and with your co-workers.

Qualifications

The ideal candidate has the following qualifications. If this doesn’t describe you exactly but you believe you would be successful in this role anyway, please apply! 

• Bachelor's Degree in Mathematics or Statistics or relevant STEM field, Master's Degree preferred.
• Deep understanding of the varying needs, desires, and interests of racially minoritized students and students from low income backgrounds
• Passion for closing the historic academic achievement gap between racially minoritized students and students from low income backgrounds and their peers
• Experience in some combination of the following: online learning design, project management, teaching, statistical research or analysis
• Experience in an academic setting as well as experience managing teams of faculty and professionals.
• Experience managing distributed/remote teams.
• Track record of prioritizing multiple tasks and meeting deadlines.
• Excellent written and verbal communication skills.
• Ability to do light coding (e.g. to correct existing questions and author new questions in our online homework platform).
• Ability to process and modify simple graphics as needed.
• Ability to follow web accessibility standards including WCAG and Section 508.

If you have some of these too we'll be delighted

• Experience teaching at the college level
• Experience building statistics course materials for use in a college statistics class
• Strong knowledge of one or more leading learning management systems: Blackboard, Canvas, D2L Brightspace, Moodle
• Experience with the Wordpress publishing platform
• Working knowledge of HTML
• Working knowledge of LaTeX

Benefits

• Autonomy
• 401k matching
• Full employee health premium covered by company
• Take the time off you need
• Paid Holidays
• Technology and training allowances
• Work with exceptional people on an important, fulfilling mission

To apply, send your cover letter and resume to ross@lumenlearning.com

Opportunity to Attend 2022 Clinical Trials Methodology Workshop
Radiological Society of North America
Posted July 29, 2021

The Radiological Society of North America (RSNA®) is holding its Annual Clinical Trials Methodology Workshop. We will be accepting one or two PhD-level biostatisticians to participate in this 6-day course. The participant or their department will be responsible for travel, food and hotel costs associated with the program. Applicants will undergo a competitive selection process. The successful biostatistician will shadow experienced biostatistics faculty and participate in didactic sessions, one-on-one mentoring, small discussion sessions and self-study. Participants will learn how to design, conduct and analyze studies for the clinical evaluation of imaging modalities.

Experienced faculty will cover topics including:

• Principles of Radiology Study Design

• Review of Statistical Concepts for Radiology

• Protocol  Development
  
  

Location and Workshop Dates
Coronado Island Marriott Resort & Spa, Coronado, CA January 8–14, 2022

Learning Objectives
Learn methodology and skills needed to collaborate on the design and analysis of imaging clinical trials.

Who Should Apply
PhD biostatisticians and statisticians interested in the design, conduct and analysis of imaging clinical trials.

Application Deadline
Email a  one-page letter of interest,  CV  and letter of support  from department head to Jeffrey Blume (jeffrey.blume@virginia.edu) with  “RSNA  CTMW  Biostatistics”  in the  subject  line  of the  e-mail message,  no  later than  September  1,  2021.

Note:

• The candidate’s department must commit to providing financial support for transportation and hotel (onsite stay required).

• Participants must be RSNA members at the time of the program.

Biostatisticians must apply by September 1, 2021.

For more information, contact Jeffrey Blume at jeffrey.blume@virginia.edu.

Assistant/Associate Professor (tenure-track)
Division of Biostatistics
Department of Population and Public Health Sciences
University of Southern California
Posted July 28, 2021

The Division of Biostatistics in the Department of Population and Public Health Sciences at the University of Southern California (https://pphs.usc.edu/) is recruiting to fill two tenure-track positions. Positions are available at all ranks, with preferences for early career candidates that have established interests in the fields of Environmental Biostatistics and/or Data Science. Central to the mission of the Division are the development of novel statistical methods, collaboration with other research groups in our Department, and education of the next generation of biostatisticians.

A PhD or Doctorate in biostatistics, statistics, computer science or related field is required. For the Data Science position, we seek an applicant with a demonstrated interest in statistical methods, deep learning and/or applications related to ‘big data’ that arise in genetic epidemiology, environmental epidemiology, public health, and/or clinical trials. For the Environmental Biostatistics position, we seek an applicant with a demonstrated interest in statistical methods and/or applications related to environmental epidemiology, respiratory health, cardiovascular health, and/or cancer; exposures of ongoing interest in our department include air pollution, tobacco smoke, alcohol, pesticides, metals, and diet, as well as various ‘omic’ indicators of exposure and genetic and genomic interactions with environmental risk factors.

For more info and how to apply visit:

Population and Public Health Sciences Environmental Biostatistics (Tenure Track) at USC

Population and Public Health Sciences Biostatistics Data Science (Tenure Track) at USC

The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply.

Assistant Professor (tenure-track)
Department of Mathematics and Statistics
Carleton College
Posted July 28, 2021

The Department of Mathematics and Statistics at Carleton College invites applications for a tenure-track Assistant Professor appointment in Statistics beginning September 1, 2022. A Ph.D. in Statistics or Biostatistics in hand or its imminent completion by the start date is required. Applicants with a Ph.D. in a closely related field who have a strong background in statistics and experience in data analysis will also be considered. Appointment at a higher level may be considered in exceptional cases.

Carleton is a highly selective liberal arts college with a student body of approximately 2,000, located in the historic and thriving town of Northfield, Minnesota.  We are within commuting distance of the Twin Cities of Minneapolis and St. Paul, whose greater metro area has a diverse population of three million people and a rich variety of cultural resources.  Our academic year consists of three ten-week terms.  The seventeen-member Department of Mathematics and Statistics resides in a modern building with excellent facilities including a dedicated computing lab.  The faculty is passionate about teaching and active in scholarship. We are particularly interested in applicants who have a demonstrated commitment to attracting and retaining students from underserved groups and who will contribute to our vibrant college-wide culture of undergraduate research. For further information about the department, consult the Carleton mathematics and statistics website at math.carleton.edu.

Applicants should submit the following materials at https://careers.carleton.edu/en-us/job/492353/assistant-professor-of-statistics:

• a letter of interest
• a statement about teaching in an undergraduate liberal arts environment that includes
  • courses that you would like to teach, including courses currently in our curriculum or courses that you would like to add to our curriculum
  • how you would contribute to a college community that embraces a diversity of people and perspectives as one of its core values
• a statement about research, including research with students, in an undergraduate liberal arts environment
• curriculum vitae
• graduate transcript
• contact information for three letters of recommendation. At least one letter should specifically address teaching experience.

Electronic submission is preferred but materials may be mailed to Stats Search, Department of Mathematics and Statistics, Carleton College, One North College Street, Northfield, MN 55057-4025. Inquiries may be emailed to statsearch@carleton.edu.

Carleton College does not discriminate on the basis of race, color, creed, ethnicity, religion, sex, national origin, marital status, veteran status, actual or perceived sexual orientation, gender identity or expression, status with regard to public assistance, disability, or age in providing employment or access to its educational facilities and activities. We are committed to developing our faculty to better reflect the diversity of our student body and American society.  Women and members of groups underrepresented in statistics and mathematics are strongly encouraged to apply.

To ensure full consideration, all application materials should be received by October 1, 2021.

Assistant Professor (tenure-track)
Department of Mathematics and Statistics
California State University, Long Beach
Posted July 8, 2021

The Department of Mathematics and Statistics at California State University, Long Beach (CSULB), warmly invites applicants with Ph.D. in Mathematics, Applied Mathematics, Statistics, Computer Science, or a related discipline for a tenure track position at the rank of Assistant Professor of Mathematics beginning August 17, 2022. Salary will be commensurate with qualifications and experience. Review of applications begins on October 15, 2021, and will continue until the position is filled. The details of the position, including Preferred Qualifications, Duties, and information about the Department, can be found at

http://www.csulb.edu/academic-affairs/faculty-affairs/assistant-professor-of-mathematics-2646

Please submit all application materials electronically at
http://www.mathjobs.org/jobs/CSULB

CSULB is an Equal Opportunity Employer.

Faculty Position (Appointment Stream)
Department of Biostatistics
University of Pittsburgh Graduate School of Public Health
Posted July 8, 2021

The Department of Biostatistics in the Graduate School of Public Health (GSPH) at the University of Pittsburgh seeks applicants for a faculty position with primary responsibility on the educational mission of the department and the school. The candidates may also have substantial interest in methodological and collaborative research. The position may be at the assistant or associate professor level (appointment stream), to begin in Spring 2022 or earlier. We seek outstanding individuals with a strong commitment to education and collaborative research. Responsibilities for this position will include providing leadership within the department and school on biostatistics curriculum, participating at the national level in biostatistics education forums, teaching up to two courses per semester, and working on collaborative projects in the public health/biomedical field. Salary and rank will be commensurate with the candidate’s credentials. 

A doctorate in Biostatistics, Statistics, or a closely related field and experience in public health are required. This position is open to new PhDs, postdoctoral fellows as well as more experienced candidates. Candidates should submit a letter of application, a statement of teaching philosophy and research interests, a sample of recent teaching evaluations, a curriculum vita, and a diversity statement. Candidates should also arrange for three reference letters to be submitted, of which at least one letter should emphasize on the candidate’s teaching credentials. A commitment to collaboration with existing GSPH faculty to develop educational programs and commitment to the school's values of respectful dialogue, cultural humility, and promotion of health equity is also essential. Please apply for this position through requisition #21004277 at join.pitt.edu. Review of applications will begin on September 15, 2021, and continue until the position is filled. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity, and diversity.  EEO/AA/M/F/Vets/Disabled

Senior Statistician / Mathematical Statistician
U.S. Government Accountability Office
Posted June 15, 2021

The U.S. Government Accountability Office (GAO) has two vacancies for senior statisticians / mathematical statisticians to support teams on the selection and implementation of appropriate statistical methodologies for engagements in accordance with GAO and professional standards. There are separate links for federal employees and the general public.

Current/former Federal Employees: https://www.usajobs.gov/GetJob/ViewDetails/603773100

Open to the Public: https://www.usajobs.gov/GetJob/ViewDetails/603773300

This position is located in the Applied Research and Methods (ARM), Center for Statistics and Data Analysis (CSDA).  ARM is made up of professionals with expertise in designing and executing appropriate methodologies that help GAO improve the performance and ensure the accountability of the federal government. ARM’s Centers offer expertise in many areas including, engagement design, qualitative and quantitative social science research methods, economics, data analysis, evaluation, statistics, surveys, and future-oriented analyses. In addition, technical chiefs provide expertise in economics, actuarial science and accounting. For more seehttps://www.gao.gov/about/careers/our-teams

We strive for a workplace that values, respects, and treats all employees fairly and a culture that fosters diversity and inclusion. Read more about why GAO is a great place to work: https://www.gao.gov/about/careers

Please note the closing date of June 23.

For questions about the Center for Statistics and Data Analysis contact Jared Smith, CSDA Director, at SmithJB@gao.gov. For questions about the job posting please contact Ebonye Watson atWatsonE@gao.gov.

Senior Statistician - Diagnostics - Global Statistics
Abbott
Posted May 30, 2021

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. Our 109,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:
ABOUT ABBOTT DIAGNOSTICS:
The key to successful treatment and full recovery is often fast, accurate diagnosis. Abbott’s life-changing tests and diagnostic tools provide insights that enable smarter, faster decisions and transform the way the world is managing health. Our pioneering technology spans the world of healthcare operations — with medical diagnostic instruments, tests, automation and informatics solutions for hospitals, reference labs, blood centers, emergency departments, physician offices and clinics.

Our location in Lake County, IL currently has an opportunity for a Senior Statistician – Abbott Diagnostics Division - Global Statistics Department.

MAIN PURPOSE OF ROLE
The Senior Statistician provides appropriate statistical input into study design analysis of data.  Ensures that statistical sections of protocol-directed clinical studies; design verification; design validation; characterization; and/or research studies are designed to establish or validate product performance claims and/or meet other study objectives.  Analyzes data using R according to the protocol or statistics plan.   This team member participates in the preparation of data review and regulatory submissions as well as establishes a high degree of competence in clinical statistics and/or study design and appropriate statistical methods.  Participates in the development and validation of statistical tools.  This position requires a solid understanding of statistical theory, particularly as it applies to mixed models, survival models, and/or logistic regression.

WHAT YOU’LL DO

• Develops experimental design and performs statistical analyses for studies. Participates on project teams.
• Provides consulting support to other department members in statistical analyses, particularly in the application of statistical theory and evaluation of statistical assumptions.
• Performs R programming to analyze data.
• Develops R functions and internal R packages.
• Researches and applies best practices for statistical methods in diagnostics.
• Advises and trains newly hired statisticians; directs others in completion of tasks and projects.
• Suggests improvements for increased departmental efficiency.
• Continues to develop management and supervisory skills necessary for advancement, functions independently.
• Interacts with all levels of medical and scientific professionals.
• May perform other duties as assigned.

EDUCATION AND EXPERIENCE YOU’LL BRING
Required

• B.S. Statistics (or related field) + 5 years’ experience, Master’s degree plus 3 years’ experience or PhD in Statistics (or related field) with 2 years of experience is preferred.
• SAS and/or other statistical programming, statistical writing, experience in data analysis. For a clinical position, experience includes statistical programming and experience in data management processes.

Preferred

• Experience with diagnostic, device, or pharmaceutical product development and/or support.
• Solid understanding of statistical theory, particularly as it applies to mixed models, survival models, and/or logistic regression.
• Solid R programming skills and good understanding of data management systems.

WHAT WE OFFER
At Abbott, you can have a good job that can grow into a great career. We offer:

• Training and career development, with onboarding programs for new employees and tuition assistance
• Financial security through competitive compensation, incentives and retirement plans
• Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
• Paid time off
• 401(k) retirement savings with a generous company match
• Pension Plan
• The stability of a company with a record of strong financial performance and history of being actively involved in local communities

Learn more about our benefits that add real value to your life to help you live fully:  www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott  and on Twitter @AbbottNews and @AbbottGlobal.

To apply, please complete an application online at the following link: https://abbott.wd5.myworkdayjobs.com/abbottcareers/job/United-States---Illinois---Abbott-Park/Senior-Statistician---Diagnostics---Global-Statistics_30982534-2

Principal Research Associate - Data Science - Public Health
Westat
Posted April 19, 2021

Westat is an employee-owned corporation providing research services to agencies of the U.S. Government, as well as businesses, foundations, and state and local governments. Westat's research, technical, and administrative staff of more than 2,000 is located at our headquarters in Rockville, Maryland, near Washington, DC. 

Westat has an immediate opening for a Principal Research Associate/Data Science to join our team of leading researchers in health studies conducting large and complex projects. As a Principal Research Associate, you will lead and support large and small epidemiology research and evaluation studies. You will collaborate with external investigators and internal project teams, providing input into analytic plans and advising on project data collection strategies including for multi-site network studies across a variety of clients and topic areas. You will provide data management, programming, and quantitative analytic support including overseeing project data management teams as well as conducting programming and analysis for Westat projects to support and contribute to scientific peer reviewed publications.  

Responsibilities:

• Responsible for all stages of project data management and analysis including developing data pipelines and architecture, data collection, management, QC, transformation, analysis, and reporting.
• Utilizes advanced and sophisticated programing, AI and machine learning methods, employing highly complex algorithms.
• Develops innovative and effective approaches in response to client's data management and analytic needs and clearly communicates results and methodologies.
• Works with IT and project teams to support data collection, integration, and retention requirements.
• Mentors and trains data management and programming staff.
• Contributes to reported results for publication in peer-reviewed and technical journals.

Basic Qualifications: 

• Master’s degree in Epidemiology, Biostatistics, Informatics or Social Sciences and 10 years of experience or a Doctoral degree with 7 years of experience.

Preferred Qualifications:

• Expertise in working with complex data; experience combining and managing multi-site network and electronic health record (EHR) data.
• Expertise in quantitative research methods and statistical techniques.
• Experience drafting statistical analysis plans, conducting and overseeing analysis.
• Demonstrated experience performing data management activities and analyses using statistical programs (e.g. SAS, R).
• Experience collecting and analyzing data from a variety of sources including administrative (e.g. EHR, claims, registries) and primary sources (e.g. agencies, individuals), and conducting complex data linkages.
• Experience developing machine learning algorithms.
• Experience in data visualization methods and presentation.

Your demonstrated experience working in a government contracting environment will be complimented by your strong collaboration and communication skills. In this role you’ll share research findings with a variety of audiences and continue to build your established publications experience.

To apply, please complete an application online at the following link: https://jobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp?partnerid=82&siteid=5197&Areq=18143BR  Questions regarding the application process may be directed to kellydingee@westat.com

Westat offers a well-rounded and comprehensive benefits program focused on wellness and work/life balance. Eligible employees may participate in:

• Employee Stock Ownership Plan
• 401(k) Retirement Plan
• Paid Parental Leave
• Vacation Leave
• Sick Leave
• Holiday Leave
• Professional Development
• Health Advocate
• Employee Assistance Program
• Travel Accident Insurance
• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short Term Disability Insurance
• Long Term Disability Insurance
• Life and AD&D Insurance
• Critical Illness Insurance
• Supplemental Life Insurance
• Flexible Spending Account
• Health Savings Account

Westat is an Equal Opportunity Employer and does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, veteran status, disability, marital status, sexual orientation, citizenship status, genetic information, gender identity or expression, or any other protected status under applicable law.

Principal Biostatistician - Clinical Trials
Westat
Posted April 19, 2021

Westat is an employee-owned corporation providing research services to agencies of the U.S. Government, as well as businesses, foundations, and state and local governments. Westat's research, technical, and administrative staff of more than 2,000 is located at our headquarters in Rockville, Maryland, near Washington, DC.

Westat has a new opportunity in its Clinical Trials Practice (CTP) for a Principal Biostatistician to lead and support Phase 1- 4 clinical trial studies across a variety of therapeutic areas, including oncology and infectious diseases. In this senior role, which can be based remotely, you will function as a lead statistician in studies, collaborate with sponsors, and be responsible for representing all statistical aspects of the study in regulatory interactions. Your effective communication skills will be key, as well as your ability to work in a matrix environment and with multiple projects. 

Job Responsibilities:

• Lead, support, and collaborate with sponsors and other Westat staff on the development of:
  • Study protocols, which includes the selection of appropriate trial designs and statistical methodology, study endpoints, sample sizes, and statistical sections of the protocol.
  • Statistical analysis plans and mock tables, listings, and figures, as well as SAS programming and edit specifications.
  • Case report forms and database requirements.
  • Data and statistical deliverables.
  • Regulatory documents containing statistical information and clinical data (e.g., IRB Reports, DMC Reports, Clinical Study Reports, INDs, IDEs, NDAs, BLAs, 510(k)s, PMAs)
• Guide/mentor junior clinical trial statisticians.
• Oversee study-specific clinical trial statistical and programming requirements to ensure:
  • Appropriate SAS programs and specifications are developed to generate regulatory compliant deliverables (e.g., SDTM and ADaM data sets/analysis files, and tables, listings, and figures). 
  • SAS programs and CDISC data sets are validated. Analyses are performed as specified in protocols and statistical analysis plans.
  • Data and statistical deliverables comply with regulatory authority requirements and guidelines. 
  • Produce and validate Integrated Summaries of Safety (ISS) and Integrated Summaries of Efficacy (ISE).
• Collaborate with the clinical SAS programming team to develop SAS macro libraries to standardize routine analysis or to implement new methods. 
• Contribute to development and maintenance of functional-level standards, SOPs, and templates, and maintain standards for clinical trial statistical activities.
• Collaborate with CTP staff and other Westat departments on business development activities.
• Represent Westat Clinical Trials Practice in external environments including professional conferences and workshops.

Basic Qualifications:

• A Master’s degree in Statistics or related field with at least 8 years of relevant experience supporting clinical trials in the Pharmaceutical, Biotechnology or CRO industry. 
• Extensive knowledge of Pharmaceutical Statistics and Medical Statistics.
• Prior experience interacting with FDA staff about design and analysis issues and strong understanding of FDA and ICH regulatory guidelines.

Preferred Qualifications:

• A Doctoral degree in Statistics or related field.
• Knowledge and experience in the application of Bayesian analysis and development of adaptive trial designs.

To apply, please complete an application online at the following link: https://jobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp?partnerid=82&siteid=5197&Areq=18141BR  Questions regarding the application process may be directed to kellydingee@westat.com

Westat offers a well-rounded and comprehensive benefits program focused on wellness and work/life balance. Eligible employees may participate in:

• Employee Stock Ownership Plan
• 401(k) Retirement Plan
• Paid Parental Leave
• Vacation Leave
• Sick Leave
• Holiday Leave
• Professional Development
• Health Advocate
• Employee Assistance Program
• Travel Accident Insurance
• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short Term Disability Insurance
• Long Term Disability Insurance
• Life and AD&D Insurance
• Critical Illness Insurance
• Supplemental Life Insurance
• Flexible Spending Account
• Health Savings Account 

Westat is an Equal Opportunity Employer and does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, veteran status, disability, marital status, sexual orientation, citizenship status, genetic information, gender identity or expression, or any other protected status under applicable law.

Senior Biostatistician - Public Health
Westat
Posted April 19, 2021

Westat is an employee-owned corporation providing research services to agencies of the U.S. Government, as well as businesses, foundations, and state and local governments. Westat's research, technical, and administrative staff of more than 2,000 is located at our headquarters in Rockville, Maryland, near Washington, DC.

Westat is seeking a Senior Biostatistician to lead statistical analyses on various types of research projects involving epidemiological, administrative, and clinical datasets. You will collaborate and consult with external investigators and internal project team members on your work designing and executing analyses. You will provide biostatistical support including design and data analysis for Westat projects and contribute to scientific peer reviewed publications. You will present computational and statistical analysis results to collaborators and assist them with data access, analysis, and interpretation of results. You will build or internalize appropriate algorithms and techniques to answer defined epidemiologic questions, ensuring that results are scientifically robust and well documented.

This role is remote eligible.

Responsibilities:

• Collaborate with external investigators in developing study aims and research hypotheses.
• Provide study design advice to investigators including assessment of appropriateness and feasibility.
• Estimate optimal sample size for the desired power, recognizing resource limitations of individual research studies.
• Develop statistical considerations and analysis methods for study protocols.
• Develop statistical analysis plans for research projects including guiding the data management team in terms of database design, selection of statistical methods, creation of project timelines, and development of formats for presenting results.
• Oversee, lead, and consult on all phases of analytical programming, data management, macros, quality control and reporting of research data.
• Conduct statistical analysis for epidemiological, clinical and evaluation projects including implementation and refinement of statistical methods, preparation of formatted tables of results and other outputs, verification of the accuracy of results, and assumption of primary responsibility for the analysis and presentation of project data.
• Lead efforts in researching, recommending, and implementing methods to validate, troubleshoot, and interpret results.
• Participate in quality control and quality assurance processes and review code output, tables, and charts.
• Present analytical results orally and in writing to internal and external audiences, incorporating descriptions of methods, relevant literature, and other background material to provide context for the results.
• Serve as a data resource for research project teams and interact directly with clients and external investigators.

Basic Qualifications:

• PhD in Biostatistics, Statistics, Bioinformatics, Epidemiology or a related field of study.
• A minimum of six years of experience, including at least 3 years of health research experience and at least 3 years of advanced data analysis experience and analyzing research data using statistical packages.
• Experience with SAS, R and other statistical packages.

Preferred Qualifications:

• Experience organizing and manipulating large data sets (e.g., EHR, claims, omics and other datasets).
• Skill and expertise in a broad range of statistical methods and approaches including analysis of longitudinal and repeated measures data, methods for handling missing data, use of linear and non-linear models, use of published non-parametric and parametric statistical methods, survival data analysis methods, logistic regressions.

In this role, you’ll use your well-developed communication and critical thinking skills to express complex statistical concepts and technical information clearly to audiences with and without formal statistical training.  You’ll also be adept at independently performing analysis, programming, implementation and testing of data; and comfortable with accountability, meeting tight deadlines and completing complex work assignments.

To apply, please complete an application online at the following link: https://jobs.brassring.com/1033/ASP/TG/cim_jobdetail.asp?partnerid=82&siteid=5197&Areq=18206BR Questions regarding the application process may be directed to kellydingee@westat.com

Westat offers a well-rounded and comprehensive benefits program focused on wellness and work/life balance. Eligible employees may participate in:

• Employee Stock Ownership Plan
• 401(k) Retirement Plan
• Paid Parental Leave
• Vacation Leave
• Sick Leave
• Holiday Leave
• Professional Development
• Health Advocate
• Employee Assistance Program
• Travel Accident Insurance
• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short Term Disability Insurance
• Long Term Disability Insurance
• Life and AD&D Insurance
• Critical Illness Insurance
• Supplemental Life Insurance
• Flexible Spending Account
• Health Savings Account

Westat is an Equal Opportunity Employer and does not discriminate on the basis of race, creed, color, religion, sex, national origin, age, veteran status, disability, marital status, sexual orientation, citizenship status, genetic information, gender identity or expression, or any other protected status under applicable law. 

Lecturer of Statistical & Data Sciences
Department of Statistical & Data Sciences
Smith College
Posted April 7, 2021

The Department of Statistical & Data Sciences at Smith College invites applications for a one-year, benefits eligible position at the rank of Lecturer to begin July 1, 2021. Teaching responsibilities for this position will include introductory and intermediate statistics. Other courses may be taught depending upon the candidate’s field of specialization. Candidates should have a strong foundation in statistics and experience with statistical computing. Master’s degree in statistics or a related field, or an equivalent combination of education and experience, is expected by the time of appointment. Candidates from groups underrepresented in statistics are encouraged to apply.

Located in Northampton, MA, Smith College is the largest women’s college in the country and is dedicated to excellence in teaching and research across the liberal arts. A faculty of outstanding scholars interact with students in small classes, as advisors, and through student-faculty research projects. Smith College offers opportunities to foster faculty success at every career stage, such as those listed here: https://www.smith.edu/about-smith/provost/faculty-development. The College is a member of the Five College Consortium with Amherst, Hampshire and Mt. Holyoke Colleges, and the University of Massachusetts Amherst. Students cross-enroll and faculty cross-teach across the Five Colleges. Details about the Department of Statistics may be found at https://www.smith.edu/academics/statistics.

Submit application at http://apply.interfolio.com/86165 with a cover letter, curriculum vitae, diversity/inclusion statement, a teaching statement and the contact information for three confidential references. Finalists will be asked for additional materials. Review of applications will begin on April 26th, 2021.

Diversity and a culture of equity and inclusion among students, staff, faculty, and administration are crucial to the mission and values of Smith College. We are an Affirmative Action/Equal Opportunity employer and do not discriminate on the basis of race, gender, age, color, religion, national origin, disability, sexual orientation, gender identity and expression or veteran status in the recruitment and employment of faculty and staff, and the operation of any of its programs and activities, as specified by all applicable laws and regulations. Women, historically underrepresented minorities, veterans, and individuals with disabilities are encouraged to apply.

SAS Job Openings
Posted April 5, 2021

Are you a problem solver, explorer, and knowledge seeker – always asking, “What if?” 

If so, then you may be the new team member we’re looking for. Because at SAS, your curiosity matters – whether you’re developing algorithms, creating customer experiences, or answering critical questions. Curiosity is our code, and the opportunities here are endless. 

What we do  
We’re the leader in analytics. Through our software and services, we inspire customers around the world to transform data into intelligence. Our curiosity fuels innovation, pushing boundaries, challenging the status quo, and changing the way we live. 

What you’ll do
We're looking for a Risk Modeling Solutions Advisor who will serve as an advisor covering all aspects of the solution, involving analytical, technical, and subject matter expertise during the delivery life cycle of SAS Risk Modeling and Decisioning solutions.

Works to support SAS’ efforts in the following subject areas:

• Risk modeling – support for implementation of our Risk Modeling solution, as well as offering guidance to other SAS personnel and customers. SAS actively works with a variety of customer methodologies, requiring understanding of both technology and domain to properly advise.
• Risk Analytics – implementation of customer-defined risk analyses in one or more SAS tools. As an example, liquidity optimization and currency risk hedging in SAS’ in-memory calculation engine.
• Other projects – SAS constantly engages with innovative new topics in both the analytical and technology spheres. Examples are climate risk, cloud technologies, and AI/ML use cases for banking.

You will:

• Provide significant support in ensuring customer adoption, and ultimately satisfaction, at every step in the customer life cycle.
• Participate in discovery meeting to collect, analyze, clarify, and document business requirements during the sales cycle to ensure alignment with SAS solution capabilities.
• Deliver standard, customized and/or strategic, senior level solution demonstrations and presentations outlining the functional capabilities, competitive advantages and business benefits of the SAS solutions as they apply to client needs.
• Participate in product and solution training to acquire and maintain a detailed level of product knowledge of core components of SAS offerings and assigned solution areas, how each solution addresses business challenges, competitive information to identify how our solution stands apart, and what challenges/limitations may be encountered.
• Participate in or leads support and/or delivery of customized Proofs of Concept and pilot projects.
• Provide demonstration and business development support at analyst presentations, vendor-sponsored events, trade shows, and user group meetings.
• Develop best practices documentation and provide business and technical leadership by contributing and sharing information with peers
• Contributes and/or reviews proposals, documentation, publications, and course materials.
• Provide vision to optimize the use of various SAS tools being used by the customer to create an integrated system that meets customer’s business requirements.
• Apply thorough knowledge of SAS products and solutions in sales opportunities.
• Establish reputation as a recognized expert internally by maintaining and proving deep knowledge of technical concepts, external market trends, and the competitive landscape.

What we’re looking for

• Desire to engage with a variety of topics, and ability to quickly absorb new information.
• Demonstrated knowledge in the following fields: Risk modeling for credit or other purposes, general risk analytics for market risk (e.g. VaR, Asset Pricing), or Model validation and model risk management.
• Interest in and exposure to enabling technologies such as cloud architectures, computational engines, and reporting clients.
• Advanced knowledge of SAS technology and architecture is a plus, but a full understanding of our current offerings is not expected. merely an eagerness to learn.
• Presentation and communication skills
• Good problem solving, organizational, decision-making written, oral and interpersonal skills.
• Ability to work independently and as part of a team.
• Travel as business requirements dictate at management discretion (anticipated 30% travel post-pandemic).

 

Additional Information: To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status. SAS is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Equal Employment Opportunity is the Law. Also view the supplement EEO is the Law, and the Pay Transparency notice. 

Equivalent combination of education, training and experience may be considered in place of the above qualifications. The level of this position will be determined based on the applicant's education, skills and experience. Resumes may be considered in the order they are received. SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, SAS may obtain nationality or citizenship information from applicants for employment. SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

All valid SAS job openings are located on the Careers page at www.sas.com. SAS only sends emails from verified “sas.com” email addresses and never asks for sensitive, personal information or money. Should you have any doubts about the authenticity of any type of communication from, for, or on behalf of SAS, please contact us at Recruitingsupport@sas.com before taking any further action.

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Society for Clinical Trials (SCT) Special Student Award
Posted March 18, 2021

We are pleased to announce a new award opportunity that will be managed by the newly formed SCT Equity, Diversity and Inclusion Committee (ED&I) in an effort to extend invitations to students from underrepresented groups in the fields of biostatistics, statistics, epidemiology, nursing, data sciences and computer science to promote a racially and ethnically diverse SCT Membership.

This new Award category will be guided by the definitions of race and ethnicity used by the National Institutes of Health and will serve as a pipeline for students from underrepresented groups to have a one year membership of SCT and registration for the Annual Meeting (May 17-May 20, 2021) sponsored by SCT.

In addition, all awardees will be invited to attend a welcome reception with the SCT President, Chair and Members of the ED&I committee and will have an opportunity to network with SCT Leadership.

We welcome interested students to submit their nomination by filling the form: https://www.sctweb.org/studentAward.cfm and emailing a copy of your current Student ID and a letter from your advisor certifying that you are a student to info@sctweb.org.

Please note that nominees may not be current or previous members of SCT, and each institution may nominate up to two students.

The deadline for submitting nomination is April 23, 2021. Awardees will be notified by May 7, 2021.

For additional questions, contact info@sctweb.org. For information on SCT, visit https://www.sctweb.org/




Assistant Professor, General Faculty
Department of Statistics
University of Virginia
Posted March 9, 2021

The Department of Statistics at the University of Virginia (UVA) College and Graduate School of Arts & Sciences invites applicants for the position of Assistant Professor, General Faculty.  This is a three-year, tenure-ineligible appointment with the possibility of renewal, contingent upon available funding, satisfactory performance, and need for the position. This position includes the possibility of promotion to Associate and Full Professor.

The Department is experiencing increased student demand in both statistics and computing, especially at the undergraduate level, so we welcome those whose teaching spans statistical methodology, introductory statistics, and statistical computation. The appointment begins with Fall term of 2021.

The successful candidate will teach three courses per semester, typically with only one or two distinct course preparations. Additionally, they will have the opportunity to develop new courses and direct undergraduate projects, as well as participate in the department’s strategic plans for expanding undergraduate interdisciplinary programs and activities, including engaging underrepresented students. Professional activity that enhances teaching is strongly encouraged. The salary is market-competitive, and optional summer teaching for additional compensation is usually available.

The Department of Statistics at UVA was established in 1999 and currently has 17 research and teaching faculty. The Department works closely with the Biostatistics Department at the Medical School, Quantitative Collaborative (Social Sciences), the newly created School of Data Science, and other departments and schools. Faculty interests range from theoretical to applied statistics (including statistics in the social, medical, and physical sciences), and we supervise a growing number of students at all levels. The department offers Bachelor, Master, and Ph.D. degrees in Statistics.

A Ph.D. in Statistics or Biostatistics, or a related field, is required by the start date. Previous teaching experience in statistics, or a related field, is required.

To apply, go to https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-VA/Assistant-Professor-of-Statistics-General-Faculty_R0022140  and attach the following documents:

• Cover letter that addresses your interest in the role, qualifications, and past experience working on issues of diversity, equity, inclusion and/or working with diverse populations, especially in the classroom.
• CV.
• Statement of teaching philosophy and experience.
• Summary of teaching evaluations that includes relevant numerical summaries and written comments that reflect your qualifications.
• Contact information for at least 3 references.

Please note that multiple documents can be uploaded in the box.

Review of applications will begin on March 20, 2021, but the position will remain open until filled.  The University will perform background checks on all new hires prior to employment.

For questions regarding the position or application process contact, Rich Haverstrom, Faculty Search Adviser, at rkh6j@virginia.edu.

For questions regarding the position in the Statistics department, please contact Gretchen Martinet, Search Committee Chair, at gaf9f@virginia.edu.

Centrally located in Virginia, Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, Washington D.C. and Research Triangle Park, which combine to make UVA a most desirable place to live and work. For more information about UVA and the area, please visit http://uvacharge.virginia.edu/guide.html.

For information on the benefits available to members of the academic faculty at UVA, visit hr.virginia.edu/benefits.

UVA assists faculty spouses and partners seeking employment in the Charlottesville area.  To learn more please visit https://dualcareer.virginia.edu/ 

For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.

Visiting Assistant Professor or Instructor of Statistics
Mathematics and Statistics Department
Whitman College
Posted March 9, 2021

The Mathematics and Statistics Department at Whitman College is seeking candidates for a one-year position, preferably with expertise in statistics, biostatistics, or data science. A Ph.D. in Statistics, Mathematics, or a related field is preferred. The applicant must demonstrate experience teaching college-level statistics and should be comfortable using the R statistical software package in a classroom setting.

The successful candidate will offer courses in introductory statistics and possibly some upper level courses in statistics or data science based on experience and/or background.

Whitman College is committed to cultivating a diverse learning community. Applicants should explain how their classroom will serve to create and sustain an inclusive learning environment. This statement can be included in the cover letter or the teaching statement. In their cover letter, candidates should address their interest in working at a liberal arts college with undergraduates, majors as well as non-majors, at all levels of instruction.

To apply, go to https://whitman.bamboohr.com/jobs/view.php?id=53.  The online application will prompt you to share a link where we can view all of the required materials: a letter of application; curriculum vitae; statement of teaching philosophy; evidence of demonstrated or potential excellence in undergraduate instruction; and contact information for three references. Suggestions on how to do this could be to put these materials in a shared Google folder or Drop Box and share that link.

Review of applications will begin on March 22, 2021 and continue until the position is filled.

Whitman College is building a diverse academic community and especially encourages applications from women, members of historically underrepresented minority groups, persons with disabilities, and others who would bring additional dimensions to the colleges learning environment. Whitman College is an EEO employer.

For additional information about Whitman College and the Walla Walla area, see www.whitman.edu and www.wallawalla.org.