Please contact Dr. Anarina Murillo for more information about posting a job advertisement in industry, government, academia, nonprofit, or other organization.
Clinical Associate Professor of Biostatistics
New York University
Posted December 23, 2022
Position Description
The Department of Biostatistics of New York University (NYU) School of Global Public Health (GPH) is seeking applications for a clinical track Associate Professor faculty position to begin in Fall 2023. This person will direct and develop a new Biostatistical Collaboration and Consultation Core that will support projects and investigators at NYU. The Core will provide statistical support for grant applications and for funded grants. The director will also participate in the Department’s teaching program. We seek candidates who have experience with statistical collaboration and consultation.
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 newly-launched, school-wide, DrPH degree. The Department is 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.
Qualifications
The candidate must meet the following requirements: (1) doctoral degree or equivalent in Biostatistics or Statistics or related field; (2) experience in statistical collaboration; and (3) and experience in teaching or mentoring graduate and/or undergraduate students.
Candidates also are expected to have strong records of high quality scholarship.
To apply: please submit all application materials electronically athttp://apply.interfolio.com/103948
For further information, please contact: Department Chair, Rebecca Betensky at rebecca.betensky@nyu.edu.
Review of applications will continue until positions are filled
Associate/Full Professor of Biostatistics
New York University
Posted December 23, 2022
Position Description
The Department of Biostatistics of New York University’s (NYU) School of Global Public Health (GPH) is seeking applications for multiple tenured faculty positions to begin in Fall 2023. We seek candidates with exceptional scholarship and reputation who can contribute to the academic and research enterprise of NYU. The Department of Biostatistics currently has 8 permanent faculty members, and 3 visiting faculty. Our methodological areas of expertise include survival analysis, high-dimensional data analysis, deep learning, social network analysis, nonparametric statistics, image analysis, data science and machine learning, causal inference, clinical trials, survey methods, longitudinal data analysis and other repeated measure methods, and our substantive areas of collaboration include Alzheimer’s disease, cancer genomics, non-communicable disease, infectious disease and the human-planet health interface, health inequities, epidemiology, and tobacco research. We also are home to a new Center on Health Data Science. We offer MPH and MS degrees, and a PhD within the GPH PhD program in Public Health. The Department is interested in recruiting outstanding faculty members 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.
Qualifications
The candidate must meet the following requirements: (1) doctoral degree or equivalent in Biostatistics or Statistics or related field; (2) outstanding record of scholarly achievement and contribution; (3) experience in teaching and mentoring graduate students and (4) history of externally-funded research projects. The candidate should demonstrate a creative and innovative approach to academic and programmatic development.
To apply: please submit all application materials electronically at http://apply.interfolio.com/113972
For further information, please contact: Department Chair, Rebecca Betensky at rebecca.betensky@nyu.edu.
Review of applications will commence on November 1, 2022, and continue until positions are filled.
Assistant/Associate/Full Teaching Professor - Data Science and Statistics
University of California, Berkeley
Posted December 23, 2022
Position Description
The Department of Statistics in the Division of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley seeks applications for an open rank position at the Assistant or Associate/Full Teaching Professor levels in Data Science. The positions are formally titled Lecturer with Potential for Security of Employment (LPSOE), Lecturer with Security of Employment (LSOE), or Senior Lecturer with Security of Employment (Sr. LSOE) depending on qualifications and experience. The appointment, initially in Statistics, is expected to transfer to a forthcoming Department focusing on data science.
UC Berkeley is a global leader in undergraduate Data Science and Statistical education. The successful candidate will join a diverse and welcoming community of scholars and educators who work collaboratively to create educational, intellectual and professional opportunities with broad societal impact for a new generation of students Together, they train data scientists who are equipped not only to create innovative tools but also to be mindful of the social context and ethical implications of their work.
The primary duties and responsibilities of an appointee to the position are pedagogical innovation, teaching and advising, and academic program development. Secondary responsibilities are professional and/or scholarly achievement and creative activities including those related to instruction and pedagogy. Therefore, the appointee is expected to demonstrate a record of and/or potential for pedagogical excellence and innovation both in the classroom and in scholarly activities.
Diversity, equity, inclusion, and belonging are core values of the Department of Statistics and CDSS. We believe that our excellence can only be realized by faculty, students, and staff who fully share our commitment to these values. The appointee is 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-learningenvironment).
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.
Since the formation of the Department of Statistics in 1955, its faculty and graduates have shaped the foundations and applications of Statistics. The Department currently has over 30 active research faculty, six of whom are members of the National Academy of Sciences: [Peter Bickel, Jennifer Chayes, Steven Evans, Michael Jordan, Rasmus Nielsen, Bin Yu]. It has been at the forefront of Data Science education, offering innovative undergraduate curricula and an open-source web-based interactive computing platform for research and instruction. CDSS also hosts an annual National Workshop on Data Science Education.
In parallel with the formation of the new College of Computing, Data Science, and Society (CDSS), the creation of a new Department of Data Science (DoDS) is also under consideration. This innovative department would serve to advance the frontiers of data science by recruiting outstanding and diverse faculty working at the interfaces of computing, statistics, and domain applications and by fostering cross-campus collaborative interactions. We envision world-class leaders in the foundations, applications, and implications of data science co-located in a common transdisciplinary academic unit that would facilitate cross-fertilization between these fields, so that the latest computational and statistical methods are brought to bear soundly and rigorously to address timely and high-impact societal questions. As one of Berkeley’s newest academic departments, DoDS would embed diversity, equity, inclusion, belonging, and justice (DEIBJ) into its foundation. It would recruit a diverse and inclusive faculty that would cultivate an open pedagogical environment to train the next generation of data scientists, with both first-rate computational and statistical foundations and a deep understanding of the applications and ethical implications of data and algorithms.
Department: https://statistics.berkeley.edu/Division: https://data.berkeley.eduTo apply: please submit all application materials electronically at
https://aprecruit.berkeley.edu/JPF03713 for the Assistant Teaching Professor https://aprecruit.berkeley.edu/JPF03713 for the Associate/Full Teaching ProfessorThe Application Window is Open October 31, 2022 through Tuesday, Jan 31, 2023 at 11:59pm (Pacific Time)
Open Rank Professor, Mellichamp Chair in Environmental Justice
University of California, Santa Barbara
Posted December 23, 2022
Position Description
Environmental harms and benefits are not shared equitably, either domestically or internationally. Throughout the world, low-income and marginalized groups, particularly communities of color and Indigenous populations, experience the greatest exposure and vulnerability to pollution, climate risks, and their associated negative health effects. These inequities are driven by multiple forces, including structural racism perpetrated by government institutions, corporations, and discriminatory and inequitable legal systems.
Environmental and racial justice scholars have recognized the ways these intersecting and cascading socio-environmental crises reinforce and amplify each other. Policies that confront unequal environmental harms represent an important step towards racial justice, while racial justice is a precondition for lasting solutions to climate disruption, environmental instability and societal adaptation. There is a fundamental need for interdisciplinary scholarship that holistically explores these intertwined challenges. UCSB, a Hispanic-Serving and Asian American, Native American, and Pacific Islander-Serving Institution, seeks to hire a cluster of four scholars whose research and professional activities describe, diagnose, and propose solutions to the inequities that permeate attempts to manage the environment. These hires will be appointed as Mellichamp Chairs in Racial Environmental Justice, joining the existing Mellichamp Chairs in Racial Environmental Justice and a strong and expanding group of faculty across numerous departments, and colleges at UCSB with expertise in environmental, climate, food, Indigenous, and social justice. They will be expected to participate in collaborative activities with the other scholars hired as part of this cluster, including, but not limited to: cross-university working groups, workshops, and conferences. These efforts will be supported with campus and chair resources.
The new cluster of Mellichamp Chairs in Racial Environmental Justice will amplify existing campus strengths in both interdisciplinary environmental research and environmental and climate justice. These scholars, appointed at the Associate or Full Professor level, will be primarily housed in or across the Bren School of Environmental Science & Management, the Department of Chicana and Chicano Studies, the Environmental Studies Program, and the Department of Statistics and Applied Probability, interacting with faculty and possibly having joint appointments across multiple departments including Anthropology, Asian American Studies, Black Studies, Economics, Global Studies, Political Science, and Sociology. With these positions we have three objectives: (1) prioritizing race as a critical lens through which to understand environmental injustices; (2) building UCSB's capacity for collaborations among humanistic, qualitative, and quantitative research teams on racial environmental justice; and (3) expanding definitions of (and imagining the redesign of) the environment to include the built and urban spaces that many marginalized communities inhabit.
As part of the Mellichamp Chairs in Racial Environmental Justice cluster hire, UCSB’s Department of Statistics and Applied Probability seeks to hire a faculty member who engages in environmental and/or climate justice challenges through Statistics and Data Science methods. The candidate’s data-analytic transdisciplinary research to study racial inequities in environmental exposures, and/or health and environmental policies, public health, morbidity, food security, climate and urban analytics, will expand campus strengths in quantitative environmental justice research and promote more just and inclusive policies. We especially seek applicants with research agendas in spatial/temporal data science, causal inference, big data analytics, extreme values and uncertainty quantification in climate, environment and health sciences including environmental epidemiology, statistical assessment of cumulative burden of environmental and social injustice, and data-driven decision making. The ideal candidate will actively engage in collaborative research with the Statistics and Data Science group in the department as well as Data Science Initiatives on campus, other cluster Chairs, and contribute to cross-disciplinary quantitative social science or demographic research centers/programs on campus. The Chair will be expected to contribute to our ongoing departmental and campus efforts to recruit and support students and scholars from underrepresented minority groups and first generation students. Responsibilities of faculty members include the development of an actively funded research program of the highest quality, teaching at undergraduate and graduate levels, recruitment, supervision, and mentorship of graduate students, and participation in department leadership, university service and professional activities. We welcome applicants from Statistics, Biostatistics and Computational Social Science backgrounds.
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position. The University of California 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 status, protected veteran status, or any other characteristic protected by law. 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. Please refer to Appendix F, Section II.C. of the policy for the deadlines applicable to new University of California employees. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
For more information on the department, please visit www.pstat.ucsb.edu
To apply, please submit all the application materials electronically at
Initial Review Date: Tuesday, January 17, 2023 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee
Assistant Professor of Applied Mathematics / Statistics / Mathematics
California State University, Long Beach
Posted November 23, 2022
Position Description
The Department of Mathematics and Statistics at California State University, Long Beach (CSULB), warmly invites applicants for the following two positions beginning August 17, 2023:
- One tenure track position at the rank of Assistant Professor of Applied Mathematics/Statistics (Ph.D. in Applied Mathematics, Statistics, Mathematics, Computer Science, or a related discipline, with specialty in applied probability, artificial intelligence, data science, high-performance computing, machine learning, optimization, or a related field)
- One tenure track position at the rank of Assistant Professor of Mathematics/Applied Mathematics (Ph.D. in pure or applied mathematics or a related discipline)
Salary will be commensurate with qualifications and experience. Review of applications begins on December 7, 2022 and will continue until the position is filled. We especially encourage and welcome applications from women and members of underrepresented minority communities. The details of the positions, including Preferred Qualifications, Duties, and information about the Department, can be found at:
https://www.csulb.edu/college-of-natural-sciences-and-mathematics/jobs
To apply: please submit all application materials electronically at
http://www.mathjobs.org/jobs/CSULB
CSULB is an Equal Opportunity Employer.
Mathematical Statistician
National Cancer Institute
Posted November 23, 2022
Position Description
The Biostatistics Branch (BB) within the Biometric Research Program (BRP) of the Division of Cancer Treatment and Diagnosis (DCTD) (https://dctd.cancer.gov/) of the National Cancer Institute (NCI) is seeking candidates with preferably a Ph.D. in Statistics, Biostatistics or equivalent.
The candidate will be a member of the Biometric Research Program (BRP) (http://brb.nci.nih.gov) and will collaborate with NCI investigators in the DCTD Cancer Therapy Evaluation Program (CTEP) (https://www.ctep.cancer.gov/) and Cancer Diagnosis Program (CDP) (https://cdp.cancer.gov/), and potentially other NCI programs, including the NCI Center for Cancer Research (https://ccr.cancer.gov/). The candidate’s responsibilities may include coordination with DCTD senior staff in the development and review of national clinical trials evaluating new therapeutics and diagnostics. The candidate will conduct research on statistical issues arising in clinical and translational science, including clinical trial design, management and analysis, diagnostics development, and other important topics related to cancer research. Candidates with interest in clinical trial design and molecular/imaging characterization of cancer are encouraged to apply
The National Cancer Institute (NCI) is part of the National Institutes of Health and is considered the federal government's principal agency for cancer research. The Biostatistics Branch is organizationally located within the Biometric Research Program, Division of Cancer Treatment and Diagnosis, NCI. The Biostatistics Branch is responsible for statistical leadership and oversight for the national program of therapeutic and diagnostic clinical trials of the NCI, as well as translational research in developmental therapeutics, diagnostics and cancer imaging. Members of the Biostatistics Branch are primarily doctoral level statisticians who are experts in the development, evaluation and application of state-of-the art methods for the design, monitoring and analysis of clinical trials evaluating new therapeutics and precision medicine approaches. The Biometric Research Program is an integral component of NCI that supports NCI's overall mission by enhancing the rate of promising scientific discoveries, and efficiency of their translation, to advance clinical care to reduce the burden of cancer in the United States and around the world.
This is an exploratory ad to gauge interest and a possible candidate pool. Vacancy Announcements (VAs) to fill the positions will be posted on WWW.USAJOBS.GOV at a later date.
Candidates must be U.S. citizens. Compensation for the positions is commensurate with the individual’s qualifications and experience as permitted within Federal Government appointments.
Please submit your C.V. and a statement of interest to Dr. Lisa McShane, Biometric Research Program, National Cancer Institute at lm5h@nih.gov.
DHHS, NIH and NCI are Equal Opportunity Employers.
Assistant or Associate Professor in Biostatistics
University of Pittsburgh
Posted November 23, 2022
Position Description
The Department of Biostatistics in the School of Public Health at the University of Pittsburgh seeks applicants for a tenure-track assistant/associate professor position, to begin in fall 2023 or earlier. The Department is interested in growing its expertise in environmental statistics, geographic information systems, spatiotemporal analysis, mobile health, data science, machine learning, causal inference, electronic health records, imaging, and microbiome. However, exceptional candidates with other research focuses will also be considered. We are committed to enhancing diversity among our faculty and strongly encourage individuals from underrepresented groups to apply.
We seek applicants with a Ph.D. degree or equivalent in biostatistics, statistics, data science, computer science, bioinformatics, or other related quantitative disciplines. New PhDs and postdoctoral fellows are encouraged to apply. The successful applicant will be involved with collaborative applied and methodological research, teaching and developing courses, and mentoring students. Candidates for Associate Professor are expected to have a strong track record of peer-reviewed publications, evidence of obtaining and implementing externally-sponsored research, and a history of teaching graduate-level courses in biostatistics and/or mentoring graduate students.
Founded in 1949 as one of the original departments of the School of Public Health, the Department of Biostatistics currently consists of 21 primary and 23 secondary faculty members. Our faculty have methodological expertise in many traditional and cutting-edge areas, including bioinformatics, clinical trials, environmental statistics, missing data, meta-analysis, longitudinal data, ROC analysis, statistical genomics, statistical machine learning, stochastic process, and survival analysis. The department has strong collaborative relationships with many academic and clinical units in the School of Public Health and the School of Medicine. Home to prominent research centers such as NRG Oncology Statistics and Data Management Center, and the UPMC Hillman Cancer Center Biostatistics Core, the Department of Biostatistics has 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. Beyond the university, the department also collaborates with UPMC—Pennsylvania’s largest academic medical center, private sectors, and local and state government agencies. The department is also committed to training the next generation of biostatisticians and health data scientists. The department has thriving MS and PhD programs consisting currently of approximately 40 fully funded Ph.D. students and 30 MS students. Our alumni hold faculty positions at major academic institutions, government agencies, and leading industries.
The University of Pittsburgh is a top-ranked, public institution in Pennsylvania and a member of the Association of American Universities of leading research universities. The School of Public Health is ranked as the 15th best public health school in the United States by U.S. News & World Report. Pittsburgh has been ranked among the top cities in the US for friendliness, best places to live, top public school systems, most cultured cities, most livable cities, and most secure places to live to name just a few. It is the home of major companies in the fields of manufacturing, high-tech, and banking, as well as world-class medical centers and museums.
Candidates should submit a letter of application, a statement of teaching philosophy, a statement of research interests, a curriculum vitae, a diversity statement, and the contact information of three references. Please apply for this position through requisition #22008609 at join.pitt.edu. Review of applications will begin on November 15, 2022, and continue until the position is filled. Questions about the position may be directed to George Tseng (ctseng@pitt.edu).
Assistant Professor in Mathematical Sciences
Montana State University
Posted November 23, 2022
Position Description
The Department of Mathematical Sciences at Montana State University invites applications for multiple tenure-track faculty members to join our department, to begin August 2023. We invite applications for scholars from any sub-field of mathematics or statistics, applied or theoretical, or mathematics or statistics education who focuses on the wellness of underserved communities, as part of the College of Letters and Science Cohort Hiring Initiative(https://www.montana.edu/lettersandscience/cohorthire/).
We also invite applications from scholars with research interests in computational and applied mathematics, including the mathematics of machine learning and data science. Full position descriptions are at https://jobs.montana.edu/postings/32831 and https://jobs.montana.edu/postings/32779. Equal Opportunity; Veterans/Disabled.
Assistant Professor in Probability, Statistics and Statistical Computing
Claremont McKenna College
Posted November 23, 2022
Position Description
The Department of Mathematical Sciences at Claremont McKenna College (CMC) invites applications for a tenure-track position, at the assistant professor level, in Probability, Statistics, and Statistical Computing. The position will begin on July 1, 2023. The successful candidate is expected to hold a Ph.D. by the time of the appointment.
The successful applicant will teach courses in probability, statistics, computing and other courses offered by the Department of Mathematical Sciences. The teaching load is two courses per semester. The candidate must have demonstrated ability to maintain an active, high quality research program and the highest standards of excellence in teaching.
Given the College’s commitment to cultivating an inclusive educational environment, we seek candidates who can demonstrate a commitment to teaching, mentoring, and inspiring students representing a broad range of socioeconomic backgrounds, political opinion, genders, races, ethnicities, nationalities, sexual orientations, and religions.
Procedures and Timetable:
Applications should include a cover letter, curriculum vitae, research statement, teaching statement, a list of publications, and at least three letters of recommendation. The cover letter, teaching statement, and/or research statement should address the candidate’s ability to teach, mentor, and inspire students representing a broad range of backgrounds. The teaching statement should show evidence of teaching effectiveness.
** NOTE **
Applications must be submitted electronically at MathJobs.Org or AcademicJobsOnline.Org.
Complete applications, including three or more letters of recommendation, will be reviewed beginning November 15, 2022. Review of complete applications will continue until the position is filled.
Claremont McKenna College is a highly selective undergraduate institution ranked among the top liberal arts colleges nationally. It is part of The Claremont Colleges, which also includes Pomona College, Scripps College, Harvey Mudd College, Pitzer College, Claremont Graduate University, and Keck Graduate Institute. The Claremont Colleges consortium constitutes an academic community of more than 9,000 students. Claremont is located 35 miles east of downtown Los Angeles.
The Claremont Center for the Mathematical Sciences (CCMS) at Claremont aims to promote excellence in research and teaching in mathematical sciences by combining the resources of the individual members of the Claremont Colleges consortium for the benefit of the extended mathematical community. It features a full spectrum of research seminars and colloquia.
Claremont McKenna College is an equal opportunity employer. In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the College actively encourages applications from members of historically under-represented groups in higher education.
Claremont McKenna College hires and promotes individuals on the basis of their qualifications, consistent with applicable state and federal laws, without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, genetic characteristic or information, military and veteran status, or any other characteristic protected by state or federal law. Inquiries may be directed to the Director for Human Resources, 528 N. Mills Avenue, Claremont, California 91711-4015, (909) 621-8490. All applicants must complete and submit an online application to be considered for an open position.
Employment is contingent upon new employee providing documents verifying U.S. citizenship or, for aliens, documents verifying legal permission to work in the United States, applicant's acceptability for positions requiring use of a college vehicle is contingent upon a driving record acceptable to the College's automobile liability insurance. Promotion from within is encouraged whenever qualified employees of Claremont McKenna College are available. Interested employees of the College are urged to contact the Director of Human Resources if qualified for any open position. Please do not contact departments directly.
To apply: https://apptrkr.com/3578899
Associate or Full Professor in Statistics and Probability
Michigan State University
Posted October 24, 2022
Position Description
The Departments of Statistics and Probability (STT), Computational Mathematics, Science, and Engineering (CMSE), and Computer Science and Engineering (CSE), at Michigan State University (MSU) invite applications for a tenure-system faculty position beginning Fall 2023. This position is a joint appointment among STT, CSE, and CMSE. While we expect the appointment to be at the assistant professor level, depending on the experience of the candidate, an appointment at the level of associate or full professor will be considered.
MSU has a long and proud tradition of excellence for world-class research in the areas of statistics, machine learning, computation, and artificial intelligence. The three departments (STT, CMSE, CSE) are home to internationally renowned faculty with a wide variety of expertise in fundamental and interdisciplinary research as well as thriving undergraduate and graduate student communities. Collectively, the three departments offer six bachelor’s degrees, four master’s degrees, and three doctoral degrees including the jointly offered master’s degree in Data Science and the bachelor’s degrees in Data Science and Computational Data Science. Graduates of our programs go on to careers in academia, industry and government.
Qualifications: Doctorate -Statistics, mathematics, or a related field. Applicants must have a research portfolio that includes work in algorithmic bias reduction and/or auditing with results that may lead to improvements in diversity, equity, and inclusion (DEI) in society. Examples of algorithmic bias reduction and/or auditing include but are not limited to the following:
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Applications of minimizing algorithmic bias in areas of major societal importance, such as for risk assessment in banking and insurance
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Legal aspects of statistical and computational algorithms
Applied Statistician, Assistant Professor, Tenure-Track
New York University
Posted October 24, 2022
Position Description
The Department of Applied Statistics, Social Science, and Humanities (ASH) in conjunction with the Center for Practice and Research at the Intersection of Information, Society, and Methodology (PRIISM) seeks an applied statistician for a tenure-track assistant professor position. The appointment begins September 1, 2023. Applicants should have a keen interest in both developing/evaluating new methods and applying methods in collaborative work with faculty and graduate students in areas represented by the Applied Statistics program in ASH and the PRIISM Center, as well as with faculty and graduate students in other parts of the University whose interests intersect with these entities. Applicants would ideally have expertise in computational statistics particularly for methods relevant to the social, behavioral, health, policy, or education sciences. This could include a methodological focus on Bayesian inference, causal inference, machine learning, missing data, multilevel models, networks, or text analysis, among other areas. The ideal candidate should have strong communication skills as a classroom teacher and as a presenter of research findings to others who are not as well versed in his/her field of research.
Responsibilities: In addition to being an outstanding researcher, the person appointed will contribute to the core teaching mission of the Applied Statistics program in ASH. Applied statistics core faculty are members of a multi-disciplinary department of Applied Statistics, Social Science, and Humanities, and synergistic collaborations across these disciplines are encouraged. The position will involve teaching and advising students at both the undergraduate and graduate levels. The person appointed will supervise student research; develop an active program of research and publication; participate in faculty meetings and committees; and engage in other service appropriate to a university faculty member. Ideally the appointee will also secure external funding to support their research.
Qualifications: A doctoral degree in Statistics, Quantitative Social Science, or a related field (Economics, Political Science, Demography, Sociology, Psychology, Public Policy, etc) and the demonstrated ability to develop a nationally recognized research program. Priority will be given to those demonstrating the ability to connect statistical methods to social issues.
NYU's dynamic Global Network University includes NYU Abu Dhabi, NYU Shanghai, and international programs and academic centers around the world. NYU Steinhardt faculty may have the opportunity to engage in research and teaching at these global study and research sites.
Applications: Candidates should apply online by submitting the following: letter of interest in the position and university; statement of research describing past and planned research (3 pages max); statement of teaching detailing experiences and interests (2 pages max); curriculum vitae; statement about commitment to diversity, equity, and inclusion (2 pages max); three samples of scholarly writing; and three names of references. These materials should be uploaded at the following link: https://apply.interfolio.com/115708
Review of applications will begin October 21, 2022 and continue until the position is filled.
For further information on the position please contact:
Professor Jennifer Hill, Chair of Search Committee
Email: jennifer.hill@nyu.edu
New York University is an Equal Opportunity Employer. NYU does not discriminate due to race, color, creed, religion, sex, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability, unemployment status or any other legally protected basis, and to the extent permitted by law. Qualified candidates of diverse ethnic and racial backgrounds are encouraged to apply for vacant positions at all levels.
Faculty Position in Biostatistics
Massachusetts General Hospital
Posted October 24, 2022
Position Description
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 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) Clinical trials including interest in multi-site phase I – III trials, comparative effectiveness trials, novel study designs (including group-sequential, platform, 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 partnerships involving quantitative methods in public health and biomedicine. The Biostatistics team includes over 70 members (23 faculty) who are deeply embedded in collaborative research projects across more than twenty different domains. Candidates with interest in Neurology, Cancer, Psychiatry, and Pulmonary and Critical Care Medicine are especially encouraged to apply.
Interested candidates should send a cover letter, research statement, three potential referees and Curriculum Vitae to biostat@mgh.harvard.edu. Review of applications will begin December 1, 2022 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.
Tenure-Track Assistant Professor in Statistics
University of Massachusetts Amherst
Posted October 24, 2022
Position Description
The Department of Mathematics and Statistics at the University of Massachusetts, Amherst seeks to hire at least two tenure-track faculty members in Statistics starting September 1, 2023. We are seeking talented applicants qualified for these assistant professor positions. Under exceptional circumstances, highly qualified candidates at other ranks may receive consideration. We welcome all applications, and encourage applications from candidates with backgrounds that are traditionally underrepresented in the statistical sciences.
The statistics group at UMass Amherst is a nexus of statistical research on a vibrant campus in the beautiful Pioneer Valley. UMass Amherst is eagerly expanding its statistics group, and we are looking to hire new colleagues who have demonstrated excellence in theoretical, methodological, and/or applied research in statistics and data science. Members of our statistics group collaborate with numerous fields, including applied mathematics, biostatistics, civil engineering, communication disorders, ecology, epidemiology, environmental science, food science, kinesiology, machine learning, microbiology, sociology, uncertainty quantification, and veterinary and animal sciences. Outstanding candidates in all areas of statistics, biostatistics, data science, and related fields are encouraged to apply.
We are a vibrant and growing statistics group within a department of mathematics and statistics. We offer PhD and MS degrees, as well as an undergraduate track in statistics. We have a great deal of autonomy in running our statistics programs and strong collegial and collaborative relationships with our mathematics and applied mathematics colleagues, many of whom also have research interests related to statistics. We are an R1 research university with strong grant funding and a baseline teaching load of three semester courses per year, which can be reduced through research funding buyouts. It is common for new faculty to teach two semester courses per year for the first two years. Our tenure system faculty typically teach upper level undergraduate and graduate courses in statistics, with flexibility to create courses of our choosing. The Pioneer Valley is a wonderful place to live. UMass is also interested in helping to resolve two body problems. We have excellent benefits including a generous state pension system and parental leave program. Faculty contracts are collectively bargained via a union that is part of the Massachusetts Society of Professors.
Requirements
Applicants must present strong evidence of outstanding research accomplishments and promise in both research and teaching. Applicants are required to have a Ph.D. in Statistics, Biostatistics, Data Science, Mathematics, or a related field by the time of appointment.
Additional Information
Questions about the position should be directed to the chair of the Search Committee, Professor Anna Liu, anna@math.umass.edu. For additional information about the application process, contact trousdal@umass.edu.
Application Instructions
Review of applications will begin on November 4, 2022 and continue until the position is filled. To apply, please submit the following required documents electronically through Mathjobs https://www.mathjobs.org/jobs/list/20907. Applications should include a cover letter, curriculum vitae, description of research, statement about teaching experience and interests, statement of contributions to diversity, equity and inclusion (see below), and three (3) letters of recommendation (at least one letter must also address the applicant's effectiveness as a teacher).
The Diversity Statement should identify past experiences and future goals. These contributions may result from lived experiences, scholarship, and/or mentoring, teaching, and outreach activities. As part of a commitment to their own multicultural community, CNS seeks an individual with a demonstrated commitment to diversity and one who will understand and embrace university initiatives and aspirations (https://www.cns.umass.edu/diversity-equity-inclusion).
UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.
Tenure-Track Assistant Professor in Statistics
University of Pittsburgh
Posted October 24, 2022
Position Description
The Department of Statistics at the University of Pittsburgh invites applications for two tenure- track Assistant Professor positions to begin in September 2023, pending budgetary approval. We encourage candidates from all areas of research to apply. Minimal requirements include having a Ph.D. in statistics or a closely related field by September 1, 2023, a strong research agenda, evidence of ability to teach both undergraduate and graduate students, and the promise of attracting external funding.
Additional information about the department is at www.stat.pitt.edu. For informal inquiries about this position contact Dr. Yu Cheng at yucheng@pitt.edu.
Applicants should send a detailed cover letter, a curriculum vitae, teaching and research statements, and a diversity statement upon application at: https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobdetail.ftl?job=22006946&tz=G MT-04%3A00&tzname=America%2FNew_York
Applicants should also arrange for three letters of recommendation to be sent to pittstat@pitt.edu. A review of completed files will begin on November 14, 2022, and continue until the positions are filled.
The Dietrich School of Arts and Sciences is committed to building and fostering a culturally diverse environment. Excellent interpersonal and relationship-building skills and ability to work effectively with a wide range of individuals and constituencies in support of a diverse community are required.
Teaching Assistant Professor in Statistics
University of Pittsburgh
Posted October 24, 2022
Position Description
The Department of Statistics at the University of Pittsburgh invites applications for one Teaching Assistant Professor to begin in September 2023, pending budgetary approval. The position is outside the tenure stream, with the expectation of rolling multi-year contract renewals for the successful lecturer. Minimum qualifications are that candidates should have earned their Ph.D. in Statistics or a closely related discipline by September 2023, have demonstrated excellence in teaching undergraduate courses, be capable of teaching and applying for master’s courses, and have an interest in innovative instruction. The normal teaching load is three courses each semester. Reductions in teaching may be possible depending on approved non-instructional activities supported by a lecturer.
Additional information about the department is at www.stat.pitt.edu. For informal inquiries about this position contact Dr. Yu Cheng at yucheng@pitt.edu.
Applicants should send a detailed cover letter, a curriculum vitae, a diversity statement, and a teaching portfolio (with a statement of teaching philosophy, sample course syllabi, assignments, and evaluations of teaching by students or supervisors) by applying to the Talent Center requisition: https://cfopitt.taleo.net/careersection/pitt_faculty_external/jobdetail.ftl?job=22008025&tz=G MT-04%3A00&tzname=America%2FNew_York
Applicants should also arrange for three letters of recommendation to be sent to pittstat@pitt.edu. A review of completed files will begin on December 1, 2022, and continue until the position is filled.
Assistant or Associate Professor in Statistics
University of Missouri
Posted October 24, 2022
Position Description
The Department of Statistics at the University of Missouri invites applications for two tenure track positions, one at the Assistant Professor level and one at the Assistant/Associate Professor level. We seek creative statisticians with an interest in developing novel methodology that complements our strengths in Bayesian statistics, biostatistics, environmental and ecological statistics, machine learning, official statistics, or spatio-temporal statistics, but applicants from all areas of statistics are encouraged to apply. Candidates should have a strong methodological foundation and have a demonstrated commitment to creating innovative approaches, theoretically sound methodology, and computational tools.
A doctorate in statistics or biostatistics or related field by August 15, 2023. Candidates will be evaluated on their teaching experience, their research potential, and communication skills.
The review of applicants will begin on October 15, 2022, and will continue until the position is filled. Apply online through Mathjobs.org at https://www.mathjobs.org/jobs,(#20631) submitting all application materials including a cover letter, CV, research statement, teaching statement, statement of contributions to diversity equity and inclusion, and four reference letters. One of the four reference letters should specifically focus on teaching. Please note that references will be asked to submit their letters directly to https://www.mathjobs.org/jobs. Questions concerning the position can be sent to: Prof. Scott H. HolanChair of Search CommitteeDepartment of StatisticsUniversity of Missouriholans@missouri.edu The University of Missouri 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 values of respect, responsibility, discovery, and excellence. The University of Missouri is an Equal Opportunity/Access/Affirmative Action/Pro Disabled & Veteran Employer.
Assistant Professor in Statistics or Data Science
San Jose State University
Posted September 30, 2022
Position Description
The Department of Mathematics and Statistics at San José State University invites applications for one full time tenure-track faculty position in Statistics/Data Science at the rank of Assistant Professor.
The Department of Mathematics and Statistics at San José State University offers undergraduate and graduate degrees that prepare students to pursue continuing graduate study, to work in industry, and to teach in secondary schools or community colleges. Our department has faculty expertise in Pure and Applied Mathematics, Statistics, Data Science and Mathematics Education. We strive to teach our students to communicate statistical ideas effectively and to use basic computational skills, mathematical and statistical models, and technology to solve practical problems. The Department offers a variety of courses that serve students in other departments, notably engineering, science, and business, to help them use mathematics, statistics and quantitative analysis effectively in their chosen field. We also strive to teach well, maintain high standards for student performance, and keep our curriculum up-to-date. Our faculty are active in scholarship and research, and are highly involved in student research via the Center for Applied Mathematics, Computation and Statistics (CAMCOS) projects and graduate student theses. You can read more about us at www.sjsu.edu/math.
The Department of Mathematics and Statistics and San José State University value diversity, equity, inclusion, and belonging. Our excellence in research, teaching, and service can only be fully realized by faculty, students, and staff who share our commitment to these values. SJSU enrolls more than 36,000 students, many of whom are historically underserved, and around 45% are first-generation and 38% are Pell-recipients. SJSU is a Hispanic Serving Institution (HSI) and Asian American and Native American Pacific Islander (AANAPISI) Serving Institution. The university’s commitment to social justice extends from its vibrant, inclusive campus to an international network of over 275,000 alumni. As such, San José State is committed to increasing the diversity of its faculty so our disciplines, students, and the community can benefit from multiple ethnic and gender perspectives.
Successful candidates will demonstrate evidence of a commitment to equity and inclusion through their research, teaching, and/or service. We ask that all applicants include a Diversity Statement with their application package. A guide to writing this statement can be found at SJSU Diversity Statement Guidelines, along with information about how these statements will be evaluated.
Associate Professor in Statistics
Colorado State University
Posted September 30, 2022
Position Description
The Department of Statistics at Colorado State University (CSU) invites applications for at least one Tenure-track Associate Professor position. We welcome applicants working in all areas of Statistics. Researchers working in areas related to data science, with emphasis on computational or theoretical analysis of big or complex data structures are particularly encouraged to apply. Duties will commence August, 2023.
Assistant Professor in Statistics
Colorado State University
Posted September 30, 2022
Position Description
The Department of Statistics at Colorado State University (CSU) invites applications for at least one Tenure-track Assistant Professor position. We welcome applicants working in all areas of Statistics. Researchers working in areas related to data science, with emphasis on computational or theoretical analysis of big or complex data structures are particularly encouraged to apply. A doctoral degree in statistics, or a closely related field, a commitment to high–quality research in statistics, and excellence in teaching are required. Duties will commence August, 2023.
Assistant Professor in Statistics
University of Florida
Posted September 30, 2022
Position Description
The Department of Statistics at the University of Florida, College of Liberal Arts and Sciences invites applications for two full-/me, nine-month, tenure-accruing positions at the rank of assistant professor, beginning August 16, 2023. Applicants will have a Ph.D. in statistics, computer science or related field. The salary is competitive and commensurate with qualifications and experience and includes a full benefits package.
We are particularly interested in candidates with research interests in data science, machine learning, and AI including fairness and explainability/interpretability of AI and statistical and algorithm foundations of deep learning. However, we are also interested in candidates from other research areas. Du/es include teaching, research, and service.
This search is part of a campus-wide effort by the University of Florida to expand the role of AI in higher education and research (https://ai.ufl.edu). The University is home to HiPerGator, one of the most powerful high-performance computers at a US public university (www.rc.ufl.edu/services/hipergator/).
The Department of Statistics particularly welcomes applicants who can contribute to a diverse and inclusive environment through their scholarship, teaching, mentoring, and professional service. Please see https://diversity.clas.ufl.edu/diversity-statement/ for more information about diversity and inclusion in the College of Liberal Arts and Sciences. The university and greater Gainesville communities enjoy a diversity of cultural events, restaurants, year-round outdoor recreational ac/vi/es, and social opportunities.
Applicants are encouraged to visit the departmental website https://stat.ufl.edu/ to learn more about the Department of Statistics.
To apply, go to https://explore.jobs.ufl.edu/cw/ en-us/listing (search job 523741)
Applications will be reviewed beginning November 10 and the position will remain open until filled.
The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff. Searches are conducted in accordance with Florida's Sunshine Law. If an accommodation due to disability is needed in order to apply for this position, please call (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD).
Assistant, Associate, or Full Professor in Operations Research and Analytics / Human Factors and Ergonomics
Iowa State University
Posted September 30, 2022
Position Description
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) assistant professor with a scholarly focus in operations research and analytics and 2) assistant professor with scholarly focus in any area of human factors and ergonomics. Both positions are expected to begin in August 2023. Exceptional candidates with commensurate experience and proven track record will be considered for tenure and advanced rank of Associate or Full Professor, as well as a named Professorship. 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
- Ph.D. or equivalent degree in industrial engineering or a closely aligned field
- Associate Professor candidates must also meet the university standards for appointment to the rank, including significant experience/accomplishments in the candidate’s area of expertise
- Full Professor candidates are required to have national distinction, international recognition, and a substantial scholarly record in their area of expertise, in addition to the aforementioned requirements
Preferred Qualifications
- Evidence of ability to establish an independent research program
- Evidence of ability or potential for teaching excellence
- Evidence of collaboration in research and education
- Evidence of commitment to diversity and inclusion
To apply, please submit your application and all materials electronically at the following link:
Position 1: Assistant, Associate or Full Professor - Operations Research and Analytics (or https://isu.wd1.myworkdayjobs.com/IowaStateJobs; Search for R9189)
Position 2: Assistant/Associate/Full Professor - Human Factors and Ergonomics (or https://isu.wd1.myworkdayjobs.com/IowaStateJobs; Search for R9190)
Applications will be accepted until the position is filled. However, to receive full consideration, applications should be received by October 20, 2022.
If you have questions regarding this vacancy, please email Dr. Guiping Hu (imsesearch@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.
Assistant Professor in Statistics, Data Science
University of California, Berkeley
Posted September 14, 2022
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 a top program 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, Erich Lehmann, and Jerzy Neyman. The Department currently has over 36 active research faculty, many of whom hold national and international awards, distinction, etc. The department is equally proud of our interdisciplinary and collaborative nature, with many faculty and students collaborating across fields such as medicine, public health, the social sciences, and computer science.
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.
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 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.
Basic qualifications (required at time of application): PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application.
Preferred qualifications: The successful candidate for an Assistant Professor position will preferably finish their PhD or equivalent degree no later than one year after their appointment’s expected start date.
To apply, please visit: https://aprecruit.berkeley.edu/JPF03557
Help contact: Recruit-stat@berkeley.edu
Tenure-Track Assistant Professor in Applied Mathematics, Statistics
Brown University
Posted September 14, 2022
Position Description
The Division of Applied Mathematics at Brown University seeks to hire a tenure-stream Assistant Professor with a start date of July 1, 2023. The teaching load for these positions is one course per semester. Applicants from all areas of applied mathematics and statistics are encouraged to apply.
The department has 22 tenure-stream and 1 lecturer-stream faculty members. We have a departmental postdoctoral program, which funds 5 postdoctoral fellows at any given time, an excellent graduate program, and a strong undergraduate culture. Department members frequently take advantage of Brown's interdisciplinary culture via collaborations with many other Brown units including Biology and Biomedicine, Brain Sciences & Neuroscience, Cognitive Linguistic and Psychological Sciences, Computational Biology, Engineering, Geosciences, Mathematics, Physics, and Public Health. We are also a founding partner of Brown’s Data Science Initiative and participate in the NSF-funded Institute for Computational and Experimental Research in Mathematics.
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, gender, sex, sexual orientation, gender identity, national origin, age, race, protected veteran status, disability, or any other legally protected status. The Division of Applied Mathematics similarly values diversity and inclusion as essential to achieving excellence and is committed to building a diverse faculty: we strongly encourage women, members of underrepresented minorities, and those who can contribute to the excellence, diversity, and inclusivity of our academic community to apply. We ask candidates to outline any relevant experience, including work with diverse constituents, and plans in their applications. (For additional information about the university's and department's commitment to diversity and inclusion, see http://www.brown.edu/about/administration/institutional-diversity/pathways and https://appliedmath.brown.edu/diversity-equity-and-inclusion.)
Applicants must have completed all requirements for the doctoral degree by the start of the position and have a strong record of or exceptional promise for research and a commitment to effective teaching in a diverse and inclusive classroom.
Applicants should submit a cover letter, a CV, a research statement, and a teaching statement. Please also provide a diversity statement (which can be part of the teaching statement), in which you summarize your past and planned contributions to diversity, equity, and inclusion. These contributions may arise from teaching/mentoring, outreach, lived experience, or other activities. Applicants should also arrange for at least three letters of reference to be submitted through the application website, with at least one letter addressing the applicant's teaching experience or potential.
Consideration of applications will begin on November 7, 2022. Inquiries should be sent electronically to Prof Govind Menon (govind_menon@brown.edu)
To apply, please visit: https://www.mathjobs.org/jobs/list/20346
Prager Assistant Professor in Applied Mathematics, Statistics
Brown University
Posted September 14, 2022
Position Description
The Division of Applied Mathematics seeks applications for a Prager Assistant Professorship, a three-year, non-tenured, and non-renewable appointment, with a start date of July 1, 2023. The teaching load for this position is one course per semester. Applicants from all areas of applied mathematics and statistics are encouraged to apply.
Candidates are required to have received a Ph.D. degree or equivalent by the start of this appointment and may have up to three years of prior academic and/or postdoctoral research experience. Applicants should have strong research potential and a commitment to teaching in a diverse and inclusive classroom, and their field of research should be consistent with the current research interests of the departmental faculty.
The Division of Applied Mathematics values diversity and inclusion as essential to achieving excellence. We especially encourage applications from those belonging to groups traditionally underrepresented in the mathematical sciences.
To apply, please submit through MathJobs an AMS cover sheet, a cover letter, a curriculum vitae with publication list, a concise description of research interests and goals, a concise description of teaching interests and goals including the applicant's experience with or ideas for diversity, equity, and inclusion in the classroom and in the profession. We also require three letters of recommendation, with at least one letter addressing the applicant's teaching experience or potential.
Consideration of applications will begin on November 7, 2022. Inquiries should be sent electronically to Prof Mark Ainsworth (mark_ainsworth@brown.edu).
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, gender, race, protected veteran status, disability, or any other legally protected status.
To apply, please visit: https://www.mathjobs.org/jobs/list/20347
RTG Postdoctoral Fellowship in Applied Mathematics
Brown University
Posted September 14, 2022
Position Description
The Division of Applied Mathematics at Brown University invites applications for two RTG Postdoctoral Fellowships beginning July 1, 2023. The appointments are for a fixed term of three years, with a teaching load of two courses per year. All applicants must be US citizens, nationals, or permanent residents, who have held their PhD for no more than two years as of January 1, 2023 or are graduate students who will complete their PhD requirements by the position start date.
The positions are funded partially by the NSF-funded Research Training Group “Mathematics of Information, Data, and Applications to Science”. Our research has a strong interdisciplinary flavor, combining foundational stochastic, statistical, combinatorial, dynamical, and computational work with concrete applications. Applied projects will involve collaborations with domain scientists from other disciplines, including astrophysics, biology, engineering, and neuroscience. The RTG is part of a vibrant community of researchers at Brown who work on data science, and we invite you to find out more about this community by visiting Brown’s Data Science Initiative. In addition to research and teaching, RTG Postdoctoral Fellows will have the opportunity to mentor graduate and undergraduate students and participate in RTG activities. More information about the RTG and the applied mathematics department can be found on the RTG website and the department website, respectively.
We value diversity and inclusion as essential to achieving excellence, and especially encourage applications from those belonging to groups traditionally underrepresented in the mathematical sciences. We will use past record and potential for future contributions in research and teaching, alignment with our research goals, potential for engagement with the RTG activities, and contributions to diversity, equity, and inclusion as criteria for this search.
To apply, please submit through MathJobs an AMS cover sheet, a cover letter that includes a discussion of their interest in being part of our RTG, a curriculum vitae with publication list, a concise description of research interests and goals, a concise description of teaching interests and goals including the applicant's experience with or ideas for teaching in a diverse and inclusive classroom, and, optionally, a description of contributions to diversity, equity, and inclusion. We also require three letters of recommendation, with at least one letter addressing the applicant's teaching experience or potential.
Consideration of applications will begin on November 14, 2022. Inquiries should be sent electronically to Caroline Klivans (caroline_klivans@brown.edu).
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, gender, race, protected veteran status, disability, or any other legally protected status.
To apply, please visit: https://www.mathjobs.org/jobs/list/20656
Tenure-Track Assistant Professor in Data Science and Statistics
Stanford University
Posted September 12, 2022
Position Description
Stanford Data Science and the Department of Statistics at Stanford University invite applications for a tenure-track Assistant Professor position in data science, focusing on the theory and practice of learning from data. The departmental home of the appointee is Statistics with a faculty scholar role in the new Stanford Data Science unit.
Applicants should exhibit the potential to run a world-leading independent research program and a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in statistics, data science, computer science, mathematics, or a related discipline at the time of appointment and will be expected to teach and advise students at both the graduate and undergraduate levels.
The successful candidate will be expected to contribute creatively and in depth to theoretical and applied data science through research, teaching and trainee mentorship. We are open to candidates working on a broad range of problems including but not limited to statistical methodology, applications, computation and theory. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to our rapidly growing institute and their home department.
Stanford Data Science, the Department of Statistics, and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include a diversity statement including a brief discussion of how their research, teaching and mentorship will further these ideals.
The Stanford community also values transparency and openness in science and encourages candidates to provide in their research statement a description of how these values are reflected in their work to date and their future research plans.
Further information on Stanford Data Science may be found at https://datascience.stanford.edu/ and information on the Department of Statistics at https://statistics.stanford.edu/. Inquiries may be directed to search@stat.stanford.edu.
Applicants should submit a cover letter, CV, 3-5 page statement of research accomplishments and plans, 1 page teaching statement, 1 page diversity statement (recommended), 2 representative publications, and arrange for at least 3 letters of recommendation to be submitted. All materials should be submitted online here. The search committee will begin reviewing applications on November 15, 2022. Applications must be received by December 15, 2022 to be guaranteed consideration.
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.
Tenure-Track Assistant Professor of Statistics
Ohio State University
Posted September 12, 2022
Position Description
The Department of Statistics seeks to hire four tenure-track Assistant Professors. We seek to hire faculty with a variety of expertise, especially in (i) complex dependence structures; (ii) high-dimensional data; and (iii) the foundations of data science. We interpret each of these areas broadly. Complex data structures include, as examples, data that are distributed in space and time (spatio-temporal dependence), have links between units (network analysis), include individual heterogeneity (random effects), or have unmeasured covariates and unknown relationships (latent variable models). High-dimensional data include, for example, data that are intrinsically high dimensional (large p), live in non-standard spaces (functional data or shape data), for which careful asymptotic analysis is needed (sparse models), or require complex models (nonparametric methods). The foundations include, for example, algorithmic modeling of complex data, large-scale computation, theory for understanding algorithmic models and their evaluation, as well as related applications. Commitments to methodological research and scientific collaboration are expected. For teaching, we seek an individual who is committed to the development and delivery of courses at both the undergraduate and graduate levels. We encourage all to apply, especially members of groups that are underrepresented in Statistics and Data Science.
Qualifications:
A Ph.D. in Statistics or related field by the start of employment is required. Appointment is contingent on the university’s verification of credentials and other information required by law and/or university policies, including but not limited to a criminal background check.
About the Department:
The department values the full spectrum of research, including theoretical and methodological development, computational methods, and applications. A particular strength of the department has been its success in collaborative research with many units across the university. In addition to a variety of degrees in Statistics, the department has strong roles in the interdisciplinary Ph.D. program in Biostatistics, the undergraduate major in Data Analytics, and in the Translational Data Analytics Institute. The department is strongly committed to maintaining the healthy and inclusive atmosphere and mentoring programs that are essential to the growth of its faculty, students and staff. More information about the department is available at https://stat.osu.edu.
About Columbus:
The Ohio State University campus is located in Columbus, the capital city of Ohio. Columbus is the Midwest’s fastest-growing city and the nation’s 14th largest city. Columbus offers a diverse array of welcoming neighborhoods and a vibrant arts and culture scene. Additional information about all that the Columbus area has to offer is available at https://visit.osu.edu/experience.
Application Instructions:
Apply to Academic Jobs Online at: https://academicjobsonline.org/ajo/jobs/22342. A complete application consists of a cover letter, curriculum vitae, research, teaching and diversity statements, and three letters of reference. The diversity statement should articulate your demonstrated commitments and capacities to contribute to diversity, equity, and inclusion through research, teaching, mentoring, and/or outreach and engagement.
The Department of Statistics at The Ohio State University seeks to hire four tenure-track Assistant Professors. The detailed description of the positions is provided in the advertisement on our webpage: https://stat.osu.edu/about/open-positions. Applications are currently being accepted via Academic Jobs Online at https://academicjobsonline.org/ajo/jobs/22342. We began review of applications on October 1, but will continue to accept and give full consideration to new applications. Research focus areas will be interpreted broadly and we encourage all to apply. Please feel free to contact Sebastian Kurtek at kurtek.1@stat.osu.edu if any questions arise.
The Ohio State University is committed to enhancing academic excellence. Recruiting, supporting, and retaining faculty of the highest caliber is a core component of this commitment. In support of this, The Office of Academic Affairs (OAA) has created the Office of Dual Careers and Faculty Relocation (DCFR) to focus on supporting new and prospective faculty. This support includes dual careers services, consultation and resources related to relocation, as well as identifying opportunities to engage on campus and the surrounding community. While employment opportunities are not guaranteed, resources and consultation are available to support the partners of new and prospective faculty as they are considering The Ohio State University and throughout their transition.
The Ohio State University is committed to establishing a culturally and intellectually diverse environment, encouraging all members of our learning community to reach their full potential. Over the next few years, The Ohio State University is committed to welcoming 350 new faculty hires, many of which will contribute to growing our role as a premier research university equipped to answer and interrogate the critical domestic and global societal challenges that deter equality and inclusion. We are responsive to dual-career families and strongly promote work-life balance to support our community members through a suite of institutionalized policies.
The Ohio State University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or identity, national origin, disability status, or protected veteran status.
Assistant Teaching Professor in Data Science and Statistics
University of California, Berkeley
Posted September 12, 2022
Position Description
The Department of Statistics in the Division of Computing, Data Science, and Society (CDSS) at the University of California, Berkeley seeks applications for an Assistant Teaching Professor position in Data Science and Statistics. This position has the possibility of security of employment (equivalent to tenure).
UC Berkeley is a global leader in undergraduate Data Science and Statistical education. The successful candidate will join a diverse and welcoming community of scholars and educators who work collaboratively to create educational, intellectual and professional opportunities for a new generation of students, with broad societal impact. Together, they develop data scientists and statisticians who are equipped not only to create innovative tools but also to be mindful of the social context and ethical implications of their work.
The primary duties and responsibilities of an appointee to the position are pedagogical innovation, teaching and advising, and academic program development. Secondary responsibilities are professional and/or scholarly achievement and creative activities including those related to instruction and pedagogy.
Therefore, the appointee is expected to demonstrate pedagogical excellence and innovation both in the classroom and in scholarly activities.
Diversity, equity, inclusion, and belonging are core values of the Department of Statistics and CDSS. We believe that our excellence can only be realized by faculty, students, and staff who fully share our commitment to these values. The appointee is 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-learningenvironment).
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.
Since the formation of the Department of Statistics in 1955, its faculty and graduates have shaped the foundations and applications of Statistics. The Department currently has over 30 active research faculty, six of whom are members of the National Academy of Sciences: [Peter Bickel, Jennifer Chayes, Steven Evans, Michael Jordan, Rasmus Nielsen, Bin Yu]. It has been at the forefront of Data Science education, offering innovative undergraduate curricula and an open-source web-based interactive computing platform for research and instruction. CDSS also hosts an annual National Workshop on Data Science Education.
Basic qualifications (required at time of application): PhD (or equivalent international degree) or enrolled in a PhD-generating 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.
To apply, please visit: https://aprecruit.berkeley.edu/JPF03565
Help contact: Recruit-stat@berkeley.edu
Assistant Professor in Statistics, Data Science, Computational, or Theoretical Neurosciences
University of California, Berkeley
Posted September 12, 2022
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 a top program in Statistics nationally. Since the inception of the Department in 1955, graduates and faculty of Berkeley have shaped the foundations and applications of Statistics. The department is equally proud of our interdisciplinary and collaborative nature, with many faculty and students collaborating across fields such as medicine, public health, the social sciences, and computer science.
The Helen Wills Neuroscience Institute (HWNI) is the nexus for campus-wide multidisciplinary neuroscience research at UC Berkeley. The institute has over 70 faculty members from 12 different academic departments. This unique cross-departmental structure brings together experts from a variety of fields to use the power of interdisciplinary research to achieve breakthroughs in the study of the brain and the rest of the nervous system and to drive the development of novel treatments and technologies.
The Berkeley Statistics Department and the Helens Wills Neuroscience Institute currently seek applicants with outstanding records in Statistics, Data Science and Computational/Theoretical Neurosciences for a position at the Assistant Professor level. Applicants are expected to be directly motivated by cutting-edge high-impact neuroscience questions and being deeply engaged in collaborative projects with experimentalists. Applicants who investigate computational and statistical principles underlying brain function are particularly encouraged. Relevant areas of Statistics broadly include experimental design, high-dimensional inference, machine learning and causal inference. 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 also 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 and HWNI. We believe that our excellence can only be fully realized by faculty, students, and staff who share fully our commitment to these values. We are 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.
Basic qualifications (required at time of application): PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application.
Preferred qualifications: The successful candidate for an Assistant Professor position will preferably finish their PhD or equivalent degree no later than one year after their appointment’s expected start date.
To apply, please visit: https://aprecruit.berkeley.edu/JPF03588
Help contact: Recruit-stat@berkeley.edu
Tenure-Track Assistant Professor
California State University, Fullerton
Posted September 12, 2022
Position Description
The Department of Information Systems and Decision Sciences (ISDS) at California State University, Fullerton, invites applications for two tenure‐track Assistant Professor positions to begin in Fall 2023.
California State University, Fullerton (CSUF) is a minority-serving institution and an affirmative action and equal opportunity employer. CSUF is strongly committed to increasing the diversity of the campus community and the curriculum, and to fostering an inclusive environment within which students, staff, administrators, and faculty thrive. Candidates who can contribute to this goal through their teaching, research, advising, and other activities are encouraged to identify their strengths and experiences in this area. Individuals advancing the University’s strategic diversity goals and those from groups whose underrepresentation in the American professoriate has been severe and longstanding are particularly encouraged to apply.
The ideal candidate for this position should demonstrate the ability to teach upper-division undergraduate and graduate courses in business analytics, data science, and/or technical information systems courses. Based on department needs, responsibilities will also include the development and teaching of introductory and core courses in business analytics and information systems. Candidates are expected to have a clear research agenda with a potential for high-quality scholarly publications. Positive tenure and promotion decisions require a strong record of research. Current ISDS faculty are active researchers in information systems, data science, and operations management. The successful candidate will also be expected to contribute to and participate in the life and development of the Department, advise students, serve on committees, and participate in the broader university and disciplinary communities.
Required Qualifications
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Applicants must have (or expect to receive before the effective date of appointment) a doctoral degree from an AACSB-accredited business school with a primary area of study in Business Analytics, Data Science, Information Systems, Operations Research, Statistics or related field.
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Demonstrated commitment to or experience in teaching upper-division undergraduate and graduate courses in business analytics / data science or information systems / information technology.
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Demonstrated record of high-quality research or research potential in business analytics and data science.
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Demonstrated commitment to work effectively with students from intersecting, marginalized social groups.
Preferred Qualifications
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Demonstrable technical skills to implement business analytics solutions in areas such as machine learning and deep learning using Python and/or R.
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Demonstrated commitment to teach courses in emerging technologies in such areas as Artificial Intelligence (AI), data visualization (using tools such as Tableau) and big data.
To apply, please visit: http://hr.fullerton.edu/careers/Faculty.php
Please direct all questions about the position to: Dawit Zerom at dzerom@fullerton.edu or call 657‐278‐3635.
Tenure-Track Assistant Professor in Statistics
Boston University
Posted September 11, 2022
Position Description
The Department of Mathematics and Statistics at Boston University invites applications for a tenure-track Assistant Professor position in the field of Statistics. Ph.D. required. Our department is committed to building and sustaining a diverse and cohesive community of scholars. In addition to describing their commitment to research and teaching at both the undergraduate and graduate levels, we particularly encourage applicants to indicate how they can meaningfully contribute to an equitable and inclusive community in our department.
Submit cover letter, CV, research statement, teaching statement, and four recommendation letters (one of which addresses teaching) online to mathjobs.org. Application deadline: December 1, 2022. Pending final administrative and budgetary approval, the appointment start date is July 1, 2023. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
To apply, please visit: https://www.mathjobs.org/jobs/list/20426
Tenure-Track Assistant/Associate Professorship Faculty Position
Tulane University
Posted August 14, 2022
Position Description
The Department of Biostatistics and Data Science at the Tulane University School of Public Health and Tropical Medicine is seeking applications for a tenure-track/tenured faculty position at the level of Assistant or Associate Professor. The position will have emphases on biostatistics and computational applied statistics and the development and application of computing techniques for analyzing health sciences data. Areas of interest include data science, biostatistics, data visualization and machine learning, or any computational related data-driven discipline. Responsibilities associated with this position include a demonstrated capacity for independent methodological research, interdisciplinary collaboration, and a commitment to innovation (create course content and materials) in teaching at the undergraduate and graduate levels, and the supervision of graduate students in biostatistics and data science. We offer a supportive environment for faculty to participate in funded studies or develop new projects, in cooperation with other departments and centers at the School of Public Health and Tropical Medicine and throughout the university.Qualifications include a doctoral degree in biostatistics, statistics, data science, or a closely related computing field; a record of research; intent and ability for scientific collaborative research and graduate level teaching; excellent oral and written communication skills. Candidates at the Associate Professor level are expected to have an established record of funded research, collaboration, and teaching. Salary and rank will be commensurate with experience.Please submit your application through Interfolio at apply.interfolio.com/105149 with a complete curriculum vitae, a letter summarizing experience and research interests, and contact information for three references. For questions please Kathleen Branley at kbranley@tulane.edu. Applications will be accepted until the position is filled. Tulane University is an EEO (Equal Employment Opportunity) / AA (Affirmative Action) Employer.Please Note: Tulane University has officially adopted a mandatory COVID-19 vaccination policy. All employees and visiting faculty must be fully vaccinated with a COVID-19 vaccination or obtain approval for a medical or religious exemption prior to beginning employment.Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane is actively building a campus culture grounded in our values of EDI and anti-racism. We seek and welcome candidate applications from historically underrepresented groups, such as BIPOC (Black, Indigenous, People of Color), women, LGBTQ+, and those living with disabilities as well as veterans.Tulane University is an Equal Employment Opportunity/Affirmative Action institution committed to excellence through diversity. Tulane University will not discriminate based upon race, ethnicity, color, sex, religion, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, marital status, military or veteran status, or any other status or classification protected by federal, state, or local law. All eligible candidates are encouraged to apply.
Investigator Track Position in Biostatistics
Yale University
Posted June 17, 2022
Position Description
The Department of Biostatistics in the School of Public Health at Yale University is seeking applicants at the rank of Assistant or Associate Professor in the Investigator Track (non-tenure). This position is for a faculty member with the experience and ability to collaborate with investigators who conduct implementation and prevention science research through the Yale’s Center for Methods in Implementation and Prevention Science (CMIPS). We seek candidates with experience preparing grants and working on collaborative projects within an interdisciplinary academic environment. Applicants should have a PhD by the start of appointment in statistics, biostatistics, a quantitative social science, or a related field.
The Investigator Track position will be affiliated with the Center for Methods in Implementation and Prevention Science (CMIPS), a center under the Department of Biostatistics at the Yale School of Public Health. CMIPS brings together existing academic strengths in biostatistics, social and behavioral sciences, health economics and epidemiology at the School of Public Health and collaborative staff to provide expertise for the design, conduct and analysis of implementation and prevention science studies, qualitative and quantitative methodological development, education and training within Yale and the extended research community.
The successful candidate will be expected to (1) collaborate with investigators on projects at the School of Public Health that require biostatistical, implementation and social science input, (2) conduct methodological research to advance the field, especially around innovative study designs, methods for testing the effectiveness of real-world implementation strategies, and related topics, and 3) contribute to educational and/or training programs. The ideal candidate will also have a commitment to diversity, equity, and inclusion.
Review of applications will begin immediately and will continue until a successful candidate is identified. Applicants are asked to submit a cover letter; curriculum vitae; statement of research accomplishments and interests; and names and contact information of three references. In the research statement, please include prior and current collaborations, team science and any work related to equity, diversity and inclusion including service and training.
For additional information, you may also contact Donna Spiegelman via email at: donna.spiegelman@yale.edu
To apply, please visit: https://apply.interfolio.com/106576
Postdoctoral Associate in Pragmatic Trial Design
Brown University
Posted June 17, 2022
Position DescriptionAn exciting full-time opportunity as a Postdoctoral Associate exists in Brown University Department of Biostatistics and at the Center for Gerontology and Healthcare Research. This candidate will be mentored by Drs. Roee Gutman, at the Brown University School of Public Health and Thomas Travison at the Marcus Institute for Brain Research. The position is for 24 months and opportunities for travel to conferences and collaborating institutions are available.
We are seeking a highly motivated researcher with an interest in pragmatic cluster randomized trials to work on methodological development in the designing and analyzing adaptive pragmatic randomized trials to address non-adherence and proxy responses. Many pragmatic cluster randomized trials suffer from non-adherence at multiple levels. Currently, there are limited methods to address non-adherence in such trials at the analysis stage under restrictive assumptions. An important area of research involves designing trials that address possible non-adherence and would allow for less restrictive assumptions. The focus of this research will be to develop adaptive trials designs that would allow for adaptation of the intervention to address non-adherence during the same trial or in follow-up trials. We also intend to develop analysis methods to address non-adherence in pragmatic trials. Lastly, we would like to consider pragmatic trials when patients cannot report their outcomes and only proxy responses are available for them. These are scenarios are common for people with dementia.
The position is supported by the National Institute on Aging (NIA) IMbedded Pragmatic Alzheimer’s disease (AD) and AD Related Dementias (AD/ADRD) Clinical Trials (IMPACT) Collaboratory with additional mentorship from faculty members at Brown University, Yale University, Harvard University and NYU School of Medicine. Principal goals of the NIA IMPACT Collaboratory are to develop and disseminate research methods and best practices in the conduct, dissemination and implementation of embedded pragmatic clinical trials (ePCT) for people living with dementia and their caregivers. The Postdoctoral Associate will have the opportunity to work with a variety of mentors in the IMPACT Collaboratory and world leaders in pragmatic and cluster randomized trial designs.
Qualifications
Qualifications are a PhD in statistics or biostatistics or relevant areas, strong programming skills, as well as good written and oral communication skills. Prior course work in study design, clinical trials, causal inference, adaptive design and Bayesian analysis are preferred. Strong preference will also be given to individuals who are highly motivated to work in pragmatic trials and/or AD/ADRD care.
Application Instructions
Interested applicants should upload the following: letter of application, 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. 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.
To apply, please visit: https://apply.interfolio.com/107193Visiting Assistant Professor
New York University
Posted June 17, 2022
Position Description
The Department of Biostatistics at New York University School of Global Public Health is seeking applications for a non-tenure track Visiting Assistant Professor faculty position to begin in Fall 2022. Candidates are expected to have: (1) a doctoral degree in an area related to Biostatistics, and (2) teaching experience in biostatistics.
The School of Global Public Health (GPH) offers academic degrees at the undergraduate, masters and doctoral levels. The undergraduate program includes 13 joint majors where students study public health along with other complementary subjects. The Department of Biostatistics offers MPH and MS degrees, and a PhD within the GPH PhD program in Public Health. Faculty in the department also participate in a school-wide, newly-launched DrPH degree. The Department is interested in recruiting an outstanding faculty member who can strengthen and contribute to 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
Qualifications
We are seeking to fill the position of non-tenure track Visiting Assistant Professor with an emphasis on teaching. The candidate is expected to engage in teaching, student advisement, and to take part in service-related academic activities (e.g., supervise Master’s theses; curriculum development).
Applicants must submit:
- Cover letter, including brief description of courses taught or that candidate would be able to teach
- Curriculum vitae
- Three letters of reference
For further information, please contact: Department Chair, Rebecca Betensky at rebecca.betensky@nyu.edu.
To apply, please visit: https://apply.interfolio.com/105452
Visiting Lecturer
Southern Methodist University
Posted June 17, 2022
The Department of Statistical Science at Southern Methodist University invites applications for a non-tenure track Visiting Lecturer appointment beginning Fall/August 2022. The successful candidate will have a strong commitment to teaching and will be expected to advance the instructional mission of the department through teaching a range of undergraduate statistics courses. Applicants are expected to hold an MA, MS or PhD in statistics, biostatistics, or a related discipline. We are particularly interested in candidates who have experience in teaching introductory statistics courses. We encourage applications from candidates with an interest in pedagogical innovation and inclusive teaching. Applications must be submitted electronically (http://apply.interfolio.com/107182). We will give full consideration to applications received by June 30, 2022, but we will continue to accept applications until the position is filled.Benefits: Full benefitsWeb Site: www.smu.edu/statistics Contact Email: scrain@smu.eduApplication Deadline: 06/30/2022
To apply, please visit: https://apply.interfolio.com/107182
Statistician
Department of Health and Human Services
Posted June 17, 2022
Two positions as Statistician are available with the HIV/AIDS Bureau (HAB), Division of Policy and Data. The Bureau administers programs, activities, manages funds and other resources related to the provision of coordinated comprehensive HIV health care and support services. Including reimbursement for treatment with life-prolonging drugs, for person with HIV/ AIDS under the Ryan White HIV/ AIDS Program authorized by Title XXVI of the Public Health Service Act; as amended by the Ryan White HIV/AIDS Treatment Extension Act of 2009. The Division of Policy and Data (DPD) serves as the Bureau’s principal source of Ryan White HIV/AIDS program data collection and evaluation and the focal point for coordination of clinical quality and program performance activities, policy analysis, and development of policy guidance. As a Statistician, GS-1530-13, you provide conceptual, programmatic, and technical guidance for data management and the statistical analysis of Ryan White HIV/AIDS programs. The major duties and responsibilities include:
- Advising staff and leadership on the statistical design and implementation of operational project related to HAB programs and policies.
- Advising staff and leadership on the development and implementation of data management plans as well as provides statistical consultation to support program analyses and program evaluations.
- Designing and conducting data management activities including data cleaning and preparation of standard reports.
- Responding to data and analytic/statistical requests from HAB's internal and external stakeholders.
- Identifying, designing and conducting analyses of program data, using pertinent other data from a variety of sources as appropriate, to identify trends, respond to queries, inform analyses of existing and prosed HAB-related policies, strengthen HAB program and performance management and advance HAB's mission.
- Interpreting results for senior management.
The position will be 100% remote if the employee lives outside of commuting distance to the Rockville, Maryland office. If a person lives within commuting distance, they would be expected to report onsite weekly. This posting will close June 27.
To apply, please visit: https://www.usajobs.gov/job/658671300
Assistant Teaching Professor of Database & Data ScienceCarnegie Mellon University
Posted January 20, 2022
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open position of Assistant Teaching Professor of Database and Data Science. We invite academics or professionals with experience applying modern data analytics techniques to real world problems. This full-time, teaching-track position is a unique opportunity to join one of the most respected research universities in the world. The Heinz College offers a collegial and intellectually stimulating environment at the intersection of people, policy, and technology. We are looking for an individual committed to instilling analytical and evidence-based practices to our undergraduate and graduate students at Heinz College and across Carnegie Mellon University.We prepare students to understand and leverage technology responsibly to effect change in business and society. We train our students to collect and analyze data in pursuit of positive transformation. We teach a set of data governance and analytical skills with a focus on the effectiveness, equity, and integrity in the decision process and its ramifications. Armed with this unique set of skills, Heinz College graduates are in great demand across all sectors of the economy.
Heinz College adheres to four basic principles of being grounded in real-world problem solving; staying ahead of the curve in innovation; nurturing diversity; and developing compassionate leaders. The College, since its founding in 1968 as the School of Urban and Public Affairs, has had a long history of commitment to diversity, equity, and inclusion, made ever more relevant in today’s world of technology-driven social change.
The Position
The role of Assistant Teaching Professor of Database and Data Science is essential in preparing our students to lead through intelligent decision making and action. This position will be responsible for developing and delivering classes that prepare Heinz students in database and data analytic methods.
We are in search of a colleague who is excited about teaching and helping students learn. Specific job responsibilities include developing, preparing, and teaching Introductory and advanced-level undergraduate and graduate courses in database systems, data management, and data analytics.
We are specifically interested in candidates with expertise in traditional and emerging database systems and at least one field in data science, such as big data technologies and algorithms, applied machine learning, visualizing and communicating data, large scale and unstructured data analytics, cloud computing, and/or data-driven modeling and prediction. In addition, we are seeking a candidate who reaffirms our values of diversity, equity and inclusion, and who exemplifies that in their teaching, research, and interactions with colleagues, students, and staff.
The desired set of skills include:
- Ability to develop and deliver relevant coursework in Database Management, Structured Query Language (SQL), Data Governance, NoSQL, Cloud Databases, and elements of the Data Analysis Pipeline
- A strong understanding of relational and non-relational data modeling concepts including experience with unstructured and dynamic data.
- Experience in integrating heterogeneous data sets including data acquisition, cleaning, and staging. A clear understanding of ETLs and their applications.
- Ability to conceptualize, structure, and oversee analytics projects
- Culturally responsive interpersonal and communication skills
- Demonstrated commitment to diversity, equity, and inclusion
- Background in teaching or working in/with academia highly preferred
The Teaching Track at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms and opportunities for promotion from Assistant to Full Teaching Professor. Faculty on the teaching track at Heinz College are expected to teach an effective teaching load of 72 units, the equivalent of six full-semester length classes or twelve half-semester length classes (minis) per academic year. This position emphasizes teaching, student advising, curriculum development, and supervising collaborative projects. Teaching Track faculty serve on committees alongside other faculty at the College and University levels. The Track is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date.
We welcome applicants with a Ph.D. in Computer Science, Information Systems, or a closely related field as those who have built their experience in industry or professional careers. “ABD” candidates nearing completion of their degrees may be considered. Willingness to work collaboratively with faculty and to mentor students from a wide range of disciplines, cultures and academic backgrounds is essential.
Application Instructions
A complete application packet will include the following: cover letter; Curriculum Vitae; a statement of teaching philosophy; a diversity statement; contact information for three or more references; and any additional supporting documentation which may include evidence of teaching effectiveness and/or representative of scholarly work.
To apply, please visit: https://apply.interfolio.com/100028
Distinguished Service Professor of Applied Data Science
Carnegie Mellon University
Posted January 20, 2022
The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open position of Distinguished Service Professor of Applied Data Science. We invite academics or professionals with experience applying modern data analytics techniques to real-world problems. This full-time position is a unique opportunity to join one of the most respected research universities in the world. The Heinz College offers a collegial and intellectually stimulating environment at the intersection of people, policy, and technology. We are looking for individual(s) committed to instilling analytical and evidence-based practices to our students at Heinz College and across Carnegie Mellon University.
We prepare students in understanding and leveraging the societal consequences of technological change. We train our students to collect and analyze data in pursuit of positive transformation. We teach a set of data governance and analytical skills with a focus on the effectiveness, equity, and integrity in the decision process and its ramifications. Armed with this unique set of skills, Heinz College graduates are in great demand across all sectors of the economy.
Heinz College adheres to four basic principles of being grounded in real-world problem solving; staying ahead of the curve in innovation; nurturing diversity; and developing compassionate leaders. The College, since its founding in 1968 as the School of Urban and Public Affairs, has had a long history of commitment to diversity, equity, and inclusion, made ever more relevant in today’s world of technology-driven social change.
The Position
The role of Distinguished Service Professor of Applied Data Science is essential in preparing our students to lead through intelligent decision making and action.
This position will be responsible for developing and delivering classes and experiential learning opportunities in data science for CMU master’s students as well as select undergraduate students. In addition to teaching, we expect the candidate to play an active role in advising students, supporting curricular advancement, and directing projects, clubs, and competitions.
Specifically, we are looking for candidates with a strong background in the application of analytics. Someone with an understanding of current data science techniques and tools, rooted in ethical data science practices. We are especially interested in candidates who share a passion for data-informed management for social good and an understanding of risks, trade-offs, and implications. In addition, we are seeking a candidate who reaffirms our values of diversity, equity and inclusion, and who exemplifies that in their teaching, research, and interactions with colleagues, students, and staff.
The desired set of skills include:
- Ability to develop and deliver relevant coursework in multiple aspects of the data analytics domain
- Ability to identify, stage, and oversee analytics projects with significant student and partner interaction
- Culturally responsive interpersonal and communication skills
- Strong project management and client management skills
- Experience working with large datasets and complex problems in high impact organizations
- Domain expertise in one or more of the programmatic areas of Heinz College (Technology, Security, Policy, Healthcare, Arts & Entertainment) preferred
- Demonstrated commitment to diversity, equity, and inclusion
- Background in teaching or working in/with academia highly preferred
The Distinguished Service Professor at Carnegie Mellon is a career-oriented, non-tenure, faculty track with renewable fixed terms reviewed every three years. There is an expectation that this person will serve on committees alongside other faculty at the College and University levels. This position is ideal for candidates who love to teach and mentor students. This position has a fall 2022 anticipated start date.
We welcome applications with a Ph.D. in Computer Science, Information Systems, or a closely related field as well as from individuals who have built their experience in industry or professional careers. “ABD” candidates nearing completion of their degrees may be considered. Willingness to work collaboratively with staff & faculty and to mentor students from a wide range of disciplines, cultures and academic backgrounds is essential.
Application Instructions
A complete application packet will include the following: cover letter; Curriculum Vitae; a statement of teaching philosophy; a diversity statement; contact information for three or more references; and any additional supporting documentation which may include evidence of teaching effectiveness and/or representative of scholarly work.
To apply, please visit: https://apply.interfolio.com/100162
Associate or Full Professor
Northwestern University
Posted January 9, 2022
The Department of Medical Social Sciences (MSS), Feinberg School of Medicine, Northwestern University is seeking an Associate/Full Professor of Psychometrics on the Team Science track, to be hired in FY 2022. MSS provides a unique scientific home for applied researchers who integrate biomedical and social science approaches to improve the health and health care delivery across the lifespan and across a broad range of health conditions (www.mss.northwestern.edu). MSS provides rich resources for conducting research including a broad scientific portfolio with multiple, large scale datasets, biostatistical and health informatics cores, expertise in multi-level assessment methods and serving as a collaborative bridge across Northwestern’s campuses. MSS research is organized around four broad scientific hubs: Patient-centered Outcomes and Measurement Science, Health Equity, Lifespan Health Promotion, and Mechanisms of Health & Disease. This position would be based in the Patient-centered Outcomes and Measurement Science hub, but faculty would be encouraged to join other hubs aligned with their interest and expertise. MSS strongly encourages Black, Indigenous, people of color (BIPOC); transgender and non-binary people; sexual minorities; people with disabilities; and women to apply. We welcome everyone to join our department.
The MSS hub for Patient-centered Outcomes and Measurement Science is recruiting senior candidates with expertise in psychometric methods that are applicable to the behavioral and social sciences. In particular, we will be seeking candidates with an established program of research on item response theory (IRT) models, computer adaptive testing (CAT) algorithms, longitudinal modeling of items, or any related psychometric subfield that can inform the development, validation, or clinical integration of person-centered outcomes. We welcome applications from candidates with an extensive research record of psychometric analysis in any discipline, including education, psychology, cognitive science, and public health. Ideally, the candidate’s research record will also demonstrate development and testing of new statistical models and novel algorithms, psychometric theory testing/development, and facility around programming in/of statistical software. An important consideration will be whether a candidate has a history or interest in serving as a mentor to junior psychometricians and scientists and whether he/she has broad enough expertise to provide informed and practical guidance for interdisciplinary work in applied health sciences. This is an outstanding opportunity for an experienced psychometrician seeking to join a vibrant research environment to lead, collaborate and mentor on high impact measurement research and innovation.
The candidate should have demonstrated an innovative programmatic approach to his/her research, an outstanding record of scholarly publication and a history of extramural funding. MSS has a highly collaborative culture in which multiple investigators work in tandem on large-scale, team science research. Participation in departmental training activities and university service are also expected and valued. Salary will be commensurate with experience and credentials. Applications will be considered until the position is filled. Additional information about the Department of Medical Social Sciences can be viewed at www.mss.northwestern.edu. Candidates will need to upload application materials at the link below, including a CV, cover letter describing research interests and alignment with the position, and this completed list of references form to suggest the names of individuals who could write letters of reference on your behalf. All applicants should include in their cover letter a clear statement about their commitment and contribution to diversity and equity initiatives. For inquiries, please contact Honore Raz honore.raz@northwestern.eduCommitment to Diversity, Equity, Inclusion, and Belonging:MSS’ string commitment to diversity is critical to our mission of advancing access to excellence in academic programs, world-class research, and health programs. As our healthcare and academic institutions serve diverse constituencies, it is vital to understand the ways in which individual differences can both divide us and offer us better ways of thinking and working. Applications are encouraged from diverse applicants and the Department is committed to supporting faculty to work in an increasingly diverse society by promoting equity and justice for all individuals, actively working to eliminate barriers and obstacles created by institutional discrimination. Engagement in discrimination or harassment against any person because of race, color, sex, religion, national origin, ancestry, age, marital status, military service, disability, sexual orientation, and gender identity or expression will not be tolerated. Our work aims to advance the health and wellbeing of diverse populations. We highlight the importance of respecting and valuing this aspect of diversity among our faculty, trainees, and staff. Northwestern requires all staff and faculty to be vaccinated against COVID-19, subject to limited exceptions. For more information, please visit our COVID-19 and Campus Updates website.
The Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Click for information on EEO is the Law.
Please read ALL instructions and make preparations before proceeding to the application page:
- Applications will only be accepted via online submission (see link below).
- Please prepare all documents in advance as Adobe PDF files, and please be sure all information is entered correctly and accurately (especially names and email addresses), as there will be no opportunity for online revision after your application has been submitted.
- All required fields in the application form are marked with an asterisk and must be filled before clicking the “Submit” button.
- Be aware that incomplete applications cannot be saved.
Applications accepted here: https://facultyrecruiting.northwestern.edu/apply/MTI4MA==