2020 Postings

Please contact Dr. Adrian Coles for more information about posting a job advertisement.

Multiple Independent and Collaborative Research Roles in the Department of Quantitative Health Sciences
The Cleveland Clinic
Posted February 27, 2020

The Cleveland Clinic main campus is searching for four (4) doctoral level faculty members to join its multidisciplinary group in the Department of Quantitative Health Sciences. The current department has 20 faculty and over 100 total members. Areas of research application include biostatistics, clinical trials, statistical genetics, bioinformatics, statistical computing, predictive modeling and computational biology. Please see below for a description of each specific position and refer to the instructions to submit an application, if interested.

A doctoral level position is available with a primary focus on project collaboration on basic or translation science research in an academic health setting. The successful candidate will be expected to assist with writing collaborative research grant applications and manuscripts and should have demonstrated examples of creative analytical approaches to complex problems in health care through a proven record of collaborative publications. Please e-mail QHSjobsearch@ccf.org
A doctoral level position is available to conduct independent research and collaborate with Cleveland Clinic investigators in areas related to bioinformatics and systems medicine. Successful candidates will have experience in network and systems medicine, patient-reported outcomes and health-related quality of life measures. Please e-mail QHSJobSearchCC@ccf.org
A doctoral level quantitative methodologist position is available to collaborate with research conducted in the Healthcare Delivery and Implementation Science Center (HDISC). The candidate should have the ability and desire to conduct both collaborative and methodologic research. A doctoral degree with expertise in biostatistics or a related discipline and a strong desire to publish journal articles are required. Experience working with large databases and familiarity with survey methods and analysis is preferred. Expectations include the publication of collaborative papers utilizing clinically-derived electronic datasets, including the electronic medical record. The focus on healthcare delivery science will require rigorous approaches to assessment of outcomes of implementation of knowledge or care delivery initiatives into practice settings. This is a ‘hard money’ position with no explicit requirements to obtain salary support. Masters level statistician support will be provided. Data manipulation and questionnaire programming support will also be provided. Please e-mail QHSJobSearchCC@ccf.org
A doctoral level qualitative methodologist with a PhD in sociology, medical anthropology health-related discipline to collaborate with research conducted in the Healthcare Delivery and Implementation Science Center (HDISC). The candidate should have the ability and desire to conduct both collaborative and methodologic research. A doctoral degree in sociology, medical anthropology or health-related discipline with expertise performing qualitative data collection and analysis along with a strong desire to publish journal articles are required. Experience in both collecting and analyzing data using ethnographic observations, focus groups, and in-depth interviews, and familiarity with implementation science research is preferred. Expectations include the publication of collaborative papers. The focus on healthcare delivery science will require rigorous approaches to assessment of outcomes of implementation of knowledge or care delivery initiatives into practice settings. Please e-mail QHSJobSearchCC@ccf.org

For all positions, the level of appointment will be commensurate with experience of the candidate and may be at the associate, or assistant level in a matrix reporting environment. These are all ‘hard money’ positions with no explicit requirements to obtain salary support. Masters level statistician support will be provided. Excellent academic writing and communication skills must be clearly demonstrated.

In the cover letter, the applicant should specifically identify which position(s) are of interest and should speak their relevant skills.

Interested candidates should email a curriculum vitae, the names of at least three references and a letter summarizing experience and research interests to the specified email address.

These and other current openings may be found at http://www.clevelandclinic.org/qhs

Cleveland Clinic is one of the world’s largest and busiest health centers. U.S. News & World Report has declared that we are among the top two “Best Hospitals” in America. In cardiology and urology, we lead the nation. Our Heart Center has been ranked number one in America for 20 years in a row in U.S. News & World Report.

Since 1998, Cleveland Clinic has used the EPIC electronic health record, which contains more than 4 million unique patients. We have approximately 200 million patient encounters and 25 million hospital encounters, with 10 million patient transactions per day. Moreover, we have more than 1 billion lab results, and all of these data are available to Cleveland Clinic researchers.

The Lerner Research Institute is home to Cleveland Clinic’s laboratory-based translational and clinical research, including the Department of Quantitative Health Sciences. Nearly 2,000 scientists and support personnel pursue a wide range of biomedical questions with the common goal of improving human health. We are committed to academic excellence, and the great majority of our faculty also has appointments at the nearby Case Western Reserve University, Cleveland State University, Kent State University, and/or University of Akron. We are an integral part of the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University – a program dedicated to training the next generation of physician-scientists. Total annual research expenditures at Cleveland Clinic exceed $250 million, including more than $100 million in federal funding. Our faculty publish approximately 1,300 research articles per year, many of which appear in high impact journals. The Department of Quantitative Health Sciences has expertise in all aspect of clinical research from study design through statistical analysis and reporting.

Cleveland Clinic is pleased to be an equal employment/affirmative action employer: Women/Minorities/Veterans/Individuals with Disabilities are encouraged to apply.
We are a smoke/drug free environment.

Multicultural Postdoctoral Faculty Fellow in Statistics / Statistical Data Science (with path to Tenure-track Assistant Professorship)
University of Rhode Island
Posted February 27, 2020

APPLICATION DEADLINE
This search is open until filled. First consideration will be given to applications received by March 25, 2020. Second consideration may be given to applications received by April 15, 2020. Applications received subsequent to the second consideration date (April 15, 2020) may not be given full consideration.

POSITION DESCRIPTION
The University of Rhode Island (URI), the flagship public research institution in the State, is a diverse and dynamic community whose members are connected by a common quest for knowledge. The campus is located near the ocean, and well connected with the main cities in New England. Computer Science and Statistics (CSS) at URI is one of the very few departments in the nation where these two disciplines work in synergy and collaborate on multiple research and educational projects. Faculty members in the department are actively involved in cutting-edge research areas including biostatistics, Bayesian methods, machine learning, network analysis, high-dimensional problems, big data methods, and spatiotemporal modeling. Several of these areas provide opportunities for multidisciplinary collaboration with scientists from other fields and for participation in international projects. We invite applications for a Multicultural Postdoctoral Faculty Fellow with an expertise in any area of statistics and statistical data science, and a commitment to bringing new perspectives to our academic programs, course offering, research, and the institution at large. One of the objectives of this position is to enhance the capacity of our faculty and students to advance issues of diversity within academic programs and research. The anticipated start date for the two-year appointment is August 2020. A thoroughly designed mentoring program with several focus areas (leadership, research, teaching, grant writing, and outreach) will support the fellow throughout the duration of the program. Subject to a positive review of teaching and scholarly activities, the fellow will transition into a full-time, funded, tenure track faculty position. This transition can happen at the end of the first or of the second year depending on the progress of the fellow.

DUTIES AND RESPONSIBILITIES
Teach one statistics course per year; conduct research with possible opportunities for students; give one internal research seminar every year; attend at least one conference every year and present; participate in faculty meetings and other departmental activities.

REQUIRED QUALIFICATIONS
1. Ph.D. with a concentration in statistics, biostatistics, data science or closely related fields at the time of appointment (August 2020).
2. Demonstrated ability to conduct academic research.
3. Demonstrated experience working with members of diverse and underrepresented groups.
4. Demonstrated ability to develop and instruct undergraduate and/or graduate courses.
5. Demonstrated proficiency in oral communication skills.
6. Demonstrated proficiency in written communication skills.

PREFERRED QUALIFICATIONS
1. Demonstrated successful record of publications and/or funded research.
2. Demonstrated teaching and/or mentoring experience at the undergraduate or graduate level.

ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES.

INSTRUCTIONS FOR APPLICANTS
Interested candidates should apply online. Quick link for posting: https://jobs.uri.edu/postings/7114
Please attach the following 5 (PDF) documents to your online Faculty Profile Application:
(#1) – Cover letter that addresses qualifications as well as demonstrated evidence of experience in, understanding of, and commitment to bringing multicultural and inclusive perspectives to the curriculum, program, research, and teaching and to promoting the success of underrepresented groups.
(#2) – Curriculum Vitae that includes research interests, education history, a list of publications and papers in progress, a list of courses taught or assisted, titles of conference presentations, and mentoring/advising experience.
(#3) - A teaching statement
(#4) - A multicultural philosophy statement (in other).
(#5) - A research statement.
(#6) - In addition, please have 3 written letters of recommendation from references sent by email to:
Statistics Multicultural Fellow Search Committee Chair Email: searchcss@etal.uri.edu

Assistant/Associate Professor of Data Science/Analytics
St. Cloud State University, St. Cloud, MN
Posted January 13, 2020

One or more full-time probationary position(s)

Appointment Date: August 18, 2020

Salary is competitively commensurate with qualifications and experience.

Description

The College of Science and Engineering at St. Cloud State University has a keen interest in expanding and strengthening program offerings in Data Analytics and Data Science. The Department of Mathematics and Statistics invites applications for tenure-track position(s) in Data Science/Analytics. The successful candidate should be committed to excellence in teaching and dedicated to preparing the next generation of data analysts and scientists. The department has a vibrant and growing Statistics major with concentrations in Data Science, Data Analytics, and Mathematical Statistics. In addition, the college and university have a strong portfolio of computing programs. More information about the college and the department can be found at http://www.stcloudstate.edu/cose/ and https://www.stcloudstate.edu/mathstat/.

Responsibilities

The successful candidate’s primary responsibilities will be to provide instruction in, and leadership for, data science and data analytics programs. Furthermore, providing support to the Statistics and Data Analytics Consulting Center will be expected. The successful candidate will also be involved in the development of curricular materials, serve on department committees, be professionally active, and perform other duties as assigned. In order to be considered for tenure, the successful candidate will demonstrate the ability to: 1) teach and/or perform other assignments effectively; 2) conduct research or other scholarly activities; 3) continue preparation and study in the discipline; 4) contribute to student growth and development; and 5) provide service to the university and community.

The ideal candidate will share St. Cloud State's commitment to our mission and values, especially our commitment to the holistic education of our racially and socio-economically diverse student population. Applicants will be expected to establish and maintain a professional goal to become outstanding teachers through the use of research-based, best-practices pedagogy. They should be willing to participate in teaching using alternative delivery methods such as online and hybrid. They will regularly engage in ongoing professional development and innovation opportunities focused on pedagogical growth offered within the College and at St. Cloud State University.

Employment for this position is covered by the collective bargaining agreement for the Inter Faculty Organization (https://www.ifo.org).

Qualifications

Required:

Ph.D. in Data Science, Statistics, or a strongly related area, or an M.S. in Data Science, Statistics, or a strongly related area, followed by at least 5 years of industry experience using state-of-the-art data science methods
Demonstrated potential to be an effective instructor utilizing best-teaching practices
Significant training in statistics
Strong computing skills relevant to data science
Excellent communication skills
Demonstrated ability to teach and work with persons from culturally diverse backgrounds

Preferred:

A Ph.D. with Data Science/Analytics industry experience
Experience engaging students in experiential learning through real-world projects
Interdisciplinary experience
Experience with teaching and assessment of on-line (credentialed) courses

Application Procedure

Apply for this position directly at: https://stcloudstate.peopleadmin.com/postings/1946

Application review begins February 7, 2020; position is open until filled. Only complete applications will be considered. A complete application will include the following:

Letter of application addressing the qualifications listed above
Curriculum vitae/resume
Teaching Philosophy Statement
Names, telephone numbers, e-mail addresses of three (3) current professional references who can speak to the candidate’s qualifications
Copies of transcripts (undergraduate and graduate); official transcripts will be required upon hiring

NOTE: Each required document must be uploaded for your application to be considered.

Contact Information:
Dr. Michael Ernst
Search Committee Chair
Professor of Statistics

Phone: (320) 308-2175 E-mail: mdernst@stcloudstate.edu

St. Cloud State University is committed to excellence and actively supports cultural diversity. To promote this endeavor, we invite individuals who contribute to such diversity to apply, including minorities, women, LGBTQ, persons with disabilities and veterans. The university is an equal opportunity employer and does not discriminate on the basis of race, sex, color, creed, religion, age, national origin, disability, marital status, status with regards to public assistance, sexual orientation, gender identity, gender expression, or status as a U.S. veteran. The Title IX coordinator at St. Cloud State is Dr. Ellyn Bartges. For additional information, contact the Office for Institutional Equity & Access, (320) 308-5123, Admin. Services Bldg. Rm 102.

Chair of the Department of Statistics
Department of Statistics
Colorado State University

Posted January 7, 2020

Colorado State University invites nominations and applications for Chair of the Department of Statistics in the College of Natural Sciences.

The Chair will provide visionary leadership for 23 faculty members, including 14 tenure track and 9 non-tenure track faculty and instructors. The department has a consistently strong record of research in statistical theory, statistical methodology, applied statistics, and interdisciplinary research. Strengths of faculty research include ecological and environmental statistics, extreme value theory, computing and data science, high-dimensional statistics and machine learning, statistical analysis of networks, functional data analysis, survey statistics, biostatistics, bioinformatics, time series, and more. Consulting activities of the department are supported through the Graybill Statistical Laboratory.

The department has a strong commitment to excellence in undergraduate and graduate education. Two undergraduate programs are offered – a BS in Statistics and a BS in Data Science. The BS in Data Science is administered jointly with the Departments of Mathematics and Computer Science in the College of Natural Sciences. The department offers three on-campus graduate programs encompassing more than 60 students: a MS and PhD in Statistics and a Masters of Applied Statistics (MAS). The MAS program is offered online, as well, with a total of 55 online students. Several certificate programs provide service teaching at the graduate level.

Detailed information about the Department of Statistics, its faculty, and its academic programs can be found at http://statistics.colostate.edu.

Major Responsibilities

Provide academic and scientific leadership in defining and designing the strategic plan for the department and to facilitate the achievement of the department’s goals;
Lead and manage growth and development of the departmental missions in research, education, service, and outreach;
Build and maintain an inclusive, collegial, and collaborative organizational culture within the department;
Facilitate and ensure mentorship and accountability for professional development and collegial interactions;
Model and promote excellence in all departmental endeavors;
Manage fiscal planning and administration;
Direct and evaluate faculty and staff;
Serve as the primary departmental advocate in enhancing the visibility and prestige of the department;
Engage in advising of PhD students.

Required Qualifications

The successful candidate must have an earned doctorate in a relevant discipline and should hold a position of Professor with tenure or have academic accomplishments that merit appointment at that rank.

In addition, applicants for the position of Department Head should present evidence of:

Potential for visionary leadership, including the ability to craft and articulate an inclusive, inspirational, and holistic strategy for the future of the Department.
Administrative experience in an academic setting, such as (but not limited to) chair or head of department or division, associate chair, or program director.
Demonstrated commitment to the promotion of diversity and inclusion.
Outstanding communication skills, including interpersonal, writing, presentation, and listening.
Demonstrated excellence in teaching at the undergraduate and graduate level.
Demonstrated excellence in interdisciplinary communication and collaboration.
Track record of success in receiving competitively-awarded internal and/or external research funding.

A complete application includes a cover letter that describes relevant experience and addresses your contribution and commitment to diversity and inclusion, a CV, a vision statement for leadership of the Department of Statistics (uploaded to the Other slot), and three professional references. References will be contacted for letters only for semifinalists. Applications of semifinalist candidates, including letters of reference, will be made available for review by the entire faculty of the Department of Statistics. References will not be contacted without prior notification of candidates. Application materials can be uploaded at http://jobs.colostate.edu/postings/73466. Evaluation of applications will start on February 14, 2020 and will continue until the position is filled.

Diversity Commitment: Colorado State University is fully committed to achieving the goal of a diverse and inclusive academic community of faculty, staff and students. We seek individuals who are committed to this goal and our core campus principles of Inclusion, Integrity, Respect, Service, and Social Justice. More information is available at https://diversity.colostate.edu/principles-of-community/.

Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or pregnancy and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Colorado State University is an equal opportunity/equal access/affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services.

Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, Colorado State University conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal (felony and misdemeanor) history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will be conducted when required by law or contract and when, in the discretion of the university, it is reasonable and prudent to do so.

Professor or Assistant/Associate Professor
Department of Biostatistics, School of Public Health
University of Washington (UW)

Posted January 30 2020

The Department of Biostatistics within the School of Public Health at the University of Washington (UW) is a leading center of excellence for the development and application of statistical methods and theory in health sciences. It has longstanding partnerships with many local research institutes and with the Department of Statistics, with which it shares core courses in its rigorous training programs. More information can be found at https://www.biostat.washington.edu/about.

The Department of Biostatistics invites applications for one faculty position at the rank of Professor (with tenure), Associate Professor (with tenure) or Assistant Professor (tenure-track). This is a full time (100% FTE), 12-month service period position with an anticipated start date of Fall 2020. Salary will be determined based on qualifications and experience.

The successful candidate will be expected to:

maintain an established high-impact statistical research program supported by external grants;
participate in collaborative research with members of the Department or its partners;

provide educational leadership in the Department’s teaching program, including formal classroom teaching and mentoring of student research, with emphasis on innovative pedagogy and attention to diversity;

contribute to the departmental community by engaging in seminars and other departmental outreach activities, including in promoting diversity, equity and inclusiveness;
play an active role in Department, School and University leadership, for example, by engaging in governance, serving on key committees, and helping to continually update vision and strategy.

QUALIFICATIONS. Candidates must have a PhD (or foreign equivalent) in biostatistics, statistics, or a related field. It is critical that they also have an established record of high-quality research, teaching, and independent funding.

APPLICATION INSTRUCTIONS. All applicants are asked to submit:

a cover letter describing what they see as their future potential contribution (e.g., scientific leadership, pedagogy, diversity) to the Department and discipline;
an up-to-date curriculum vitae detailing publication, teaching and funding history;
a statement describing demonstrated commitment and activity in support of diversity, equity and inclusion;
contact information for three (3) references.

This institution is using Interfolio to conduct this search. Applicants can submit all application materials free of charge via https://apply.interfolio.com/72770. Applications submitted by February 29, 2020 will receive full consideration.

CONTACT INFORMATION. For questions, please contact Melissa Kane, Assistant to the Chair, at basstchr@uw.edu.

DEPARTMENTAL AND SCHOOL COMMITMENT TO DIVERSITY. The Department recognizes that health disparities stem from inequity, and encourages and supports the multiple identities of staff, faculty, and students including, but not limited to, socioeconomic status, race, ethnicity, language, nationality, sex, sexual orientation, gender identity and expression, culture, geography, spiritual practice, mental and physical disability, and age. It strives to develop and maintain increased representation and recognition of each dimension of diversity among its faculty, staff, and students. The department has an active Equity, Diversity and Inclusion committee. A summary of the mission and the activities of that committee can be found online (https://www.biostat.washington.edu/about/diversity). The UW School of Public Health is also committed to fostering a diverse academic community. Diversity, equity and inclusion are considered essential to its mission. Applications from faculty with demonstrated research, training and service experience in this area are welcome. More information is available online (https://sph.washington.edu/diversity/).