General Information: The Department of Biostatistics at the University of Michigan is seeking applicants for open faculty positions (two open rank positions targeted at the tenured associate or full professor level and two tenure-track positions targeted at the assistant level), with flexible starting dates. The department is looking to grow its expertise in infectious diseases modeling, data integration, data science, machine learning, causal inference, genetics and genomics, and computational statistics. However, the focus of the search is broad and excellent candidates in any field of statistical research will be given full consideration
Department Information: The Department of Biostatistics currently has 43 primary faculty members and 230 full-time Ph.D. and Master’s students. The Department is involved in cutting-edge methodological research and scientific investigation in many areas of public health and biomedical research. The Department has close ties with the Department of Statistics, the Institute for Social Research, the Medical School, the Michigan Institute for Data Science, the Institute of Health Policy and Innovation, the University of Michigan Rogel Cancer Center, and other research groups across campus. In FY21, the Department of Biostatistics had $32 million in research expenditures. Within the Department, there are 5 impactful Research Centers, including: The Cancer Data Science Shared Resource Center; The Center for Precision Health Data Science; The Center for Statistical Genetics; The Kidney Epidemiology and Cost Center; and the Statistical Analysis of Biomedical and Educational Research Center. The Department has two training grants, The Genome Science Training Program and the Biostatistics Training in Cancer Research Program, as well as an undergraduate training program, the Big Data Summer Institute.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 120,000 year-round residents and approximately 48,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size.
The University of Michigan is an affirmative action/equal opportunity employer. Applications from women and minorities are welcomed and strongly encouraged.
Required qualifications include a Ph.D. degree or equivalent in biostatistics, statistics, genetics, data science, computer science, bioinformatics, or other related quantitative disciplines, and a strong research interest in health data science. Excellent candidates for the position with other research focus will also be considered and are encouraged to apply.
Application: We will continue reviewing applications on a rolling basis with interviews and visits scheduled in Fall of 2022 and Winter of 2023. Interested applicants should visit https://sph.umich.edu/biostat/faculty-search/ to apply. If you do not already have an account, you can easily set up a University of Michigan Friend account. Once this step is completed, please submit your application. Applicants will be asked to upload:
Statement of research interest
Statement of teaching interest
The names and contact information of three references
Academic transcripts from the graduate school (if a recent graduate).
Questions or Concerns: Please contact the University of Michigan Department of Biostatistics at UM.Biostat.Recruitment@umich.edu for inquiries related to the position.
The Department of Biostatistics at the University of Michigan School of Public Health is rated the top biostatistics program in the country by the National Academies. We bring biostatistical design and analysis expertise to a wide spectrum of health-related issues. Our faculty, students, and staff work in important and diverse areas of current biostatistical research; including image analysis, survival and event history analysis, statistical genetics and bioinformatics, clinical trials, Bayesian methods, statistical computing, longitudinal data analysis, methods for missing data, and survey research. Our graduates have great job opportunities in fields such as academics, government, industry (e.g. biotech, pharmaceuticals), and medical research institutions.