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Position TitleOpen Rank and Tenure-Track Faculty Positions in Biostatistics
The Department of Biostatistics has 41 primary faculty members and 204 full-time PhD 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.
The University of Michigan offers competitive salaries and excellent benefits. Ann Arbor is a progressive city of about 118,000 year-round residents, and approximately 43,000 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.
The Department of Biostatistics at the University of Michigan is seeking applicants for two open rank (Assistant/Associate/Full) and one tenure-track (Assistant) faculty positions to begin in Fall 2020. Candidates must have a strong research background with a doctoral degree in biostatistics, statistics, mathematics, the computational sciences or a related field. Candidates being considered for this position will be expected to develop an outstanding research and teaching program. A particular focus of this search is on candidates who are interested in following areas: a) environmental and spatial statistics and b) observational studies, survival analysis and causal inference, along with other emerging areas of emphasis in the department, such as statistical and machine learning, computational statistics, methods for the analysis of electronic health records, methods for big data, data integration, high-dimensional data, genomics and precision health. Excellent candidates with other research focus will also be considered and are encouraged to apply.
PhD in relevant field