General Information: The Department of Biostatistics at the University of Michigan is seeking applicants for multiple open rank faculty positions, with flexible starting dates. The department is looking to grow its expertise in data integration, data science, artificial intelligence/machine learning, clinical trials, genetics and genomics, survey statistics, high-dimensional modeling, imaging statistics and computational statistics. However, the focus of the search is broad and excellent candidates in any field of statistical/biostatistical research will be given full consideration.
Department Information: The Department of Biostatistics currently has 45 primary faculty members and over 300 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; 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.
Application: We will continue reviewing applications on a rolling basis with interviews and visits scheduled in Fall of 2024 and Winter of 2025. Interested applicants should submit their application at http://apply.interfolio.com/152852. Applicants will be asked to upload:
CV
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.edufor inquiries related to the position.
Required qualifications include a Ph.D. degree or equivalent in biostatistics, statistics, genetics, data science, computer science, bioinformatics, or other related quantitative discipline, 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. The deadline to guarantee consideration of your application is November 15.
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 at medical research institutions.