About the Position
The Division of Biostatistics and Health Data Science, School of Public Health, at the University of Minnesota has an opening for a tenure-track faculty position at the assistant professor rank starting in the 2027-2028 academic year. Tenure-track faculty in the division are expected to develop their own independent statistical methods research program, engage in collaborative research with researchers across the health sciences and other areas of the University of Minnesota, seek external funding by submitting grant applications, participate in the Division’s teaching program through classroom instruction and advising students at the graduate level, and serve on division and school-level committees.
About the Division
The Division of Biostatistics and Health Data Science (https://www.sph.umn.edu/academics/divisions/biostatistics/) currently includes 31 faculty members and 50 staff. Faculty regularly publish in the top methodological journals across all major biostatistical research areas, including causal inference, clinical trials, statistical genetics, bioinformatics, genomics and proteomics, analysis of spatial and longitudinal data, biomedical imaging, survival analysis, meta-analysis and data synthesis, and mobile health. Division faculty are active in a wide range of collaborative research projects including high-profile studies of cancer, cardiovascular disease, infectious disease, dentistry and periodontology, psychiatry/psychology, transplantation, chronic and neurodegenerative diseases, and tobacco control. The Division’s Coordinating Center for Biometric Research (CCBR; https://ccbr.biostat.umn.edu/) is a field leader in clinical trial coordination and has been instrumental in designing and executing seminal vaccine and treatment trials in HIV/AIDS, Ebola, influenza, and COVID-19. Several Division faculty have leadership roles in major cross-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center (https://ctsi.umn.edu/services/statistical-support/biostatistical-support), the Analytics Core of the Masonic Institute for the Developing Brain (https://midb.umn.edu/research/analytics), the RapidEval Program (https://med.umn.edu/clhss/activities/rapideval) in the Center for Learning Health Systems Sciences, and the Genomics Data Commons (https://www.sph.umn.edu/research/centers/genomic-data-commons/).
The Division offers MS and PhD degrees in Biostatistics and an MPH in Public Health Data Science, with a current enrollment of 142 graduate students (65 Doctoral, 77 Masters). Students come to our programs from top undergraduate and graduate institutions across the U.S. and around the world, attracted by the quality of our faculty and our dedication to student success. Division students regularly publish in top journals and win prestigious student paper awards at top national and international conferences; our graduates go on to become leaders in academia, private industry, and government.
The University of Minnesota is a top-ranked public research university, known for its vibrant academic community and strong support for interdisciplinary research. The Division is one of four within the School of Public Health, which is part of a comprehensive health sciences ecosystem that provides ample opportunity for collaboration. The Division is located on the Twin Cities campus within the city of Minneapolis. With a population of over 3.5 million, the Twin Cities offer all the amenities of a major metropolitan area including an award-winning urban parks system, teams in all major professional sports, a vibrant arts, cultural, and culinary scene, and excellent public schools. The salary and start-up packages for this position are competitive, and fringe benefits are excellent. The University of Minnesota is committed to supporting a healthy work-life balance and offers a range of resources to help faculty succeed both professionally and personally.
Pay and Benefits
Pay Range: $130,000-$165,000; depending on education/qualifications/experience
Work arrangements: Hybrid
Time Appointment: 100%, 12 month-appointment beginning 2027-2028 academic year
Position Type: Faculty
The University offers a comprehensive benefits package that includes:
Please visit the Office of Human Resources website for more information regarding benefit eligibility.
Applicants must have a PhD in biostatistics, statistics, or a related discipline. Areas of particular interest include methods for personalized and precision medicine, causal inference, the design of pragmatic and adaptive clinical trials, data integration, and meta-analysis / evidence synthesis. However, candidates in all research areas are encouraged to apply.
Applicants should submit a cover letter, a current curriculum vitae, and contact information for at least three references. Letters of recommendation from each reference must be uploaded directly to this application. In the cover letter (maximum of three single-spaced pages), applicants should outline their research achievements, teaching philosophy, and future scholarly directions. Applications received on or before November 13, 2026 will be given first consideration for an interview; however, we will continue to accept applications until the position is filled. Questions regarding the position or application process may be directed to biostats@umn.edu.
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.
