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Assistant Professor (Tenure-Track)

University of Minnesota
life insurance, paid holidays
United States, Minnesota, Saint Paul
Sep 14, 2026
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Job ID
376101
Location
Twin Cities
Job Family
Academic
Full/Part Time
Full-Time
Regular/Temporary
Regular
Job Code
9403
Employee Class
Instr Fac/TC and Coord Cmp
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About the Job

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.

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

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area
Qualifications

Qualifications:
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.

About the Department

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/).

Pay and Benefits

Pay Range: $130,000-$165,000 per year; depending on education/qualifications/experience

Time Appointment: 100% Appointment

Position Type: Faculty and P&A Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training and degree-seeking programs supported by the Regents Tuition Benefit Program
  • Low-cost medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and employer-paid life insurance
  • Employee wellbeing program
  • Excellent retirement plans with employer contribution
  • Public Service Loan Forgiveness (PSLF) opportunity
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
  • Employee Transit Pass with free or reduced rates in the Twin Cities metro area

While our salary ranges provide a framework, it is important to note that most of the
time, the initial pay may not reach the maximum of the range. This approach ensures
that compensation reflects the value and unique contributions of each candidate while
maintaining equity within our organization. As part of our commitment to fair and
equitable compensation, please be aware that the salary offered to incoming candidates
will be based on their individual credentials and experience.

How To Apply

How to Apply:

Applications must be submitted online. To be considered for this position, please go to the Interfolio job site_191718 and follow the application instructions. 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.

Diversity

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

Employment Requirements

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.

About University of Minnesota

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.

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