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The Department of Statistics at the University of Michigan invites applications for a full-time postdoctoral associate to develop new statistical methods for genomics with Assistant Professor Jeffrey Regier. The ideal candidate will have a background in Bayesian statistics and machine learning, strong programming skills, and a working knowledge of cell biology. Previous experience with scRNA-seq data, PyTorch, and variational inference is desirable but nonessential.
The focus of this position is developing rigorous statistical methods for interpreting single-cell transcriptomics data. Possible research topics include 1) developing statistical methods to infer gene regulatory networks based on CRISPR knockout experiments, and 2) developing statistically identifiable models to remove scRNA-seq batch effects. Data will be provided by Immunai You would have the opportunity to interact with Immunai’s scientists to influence their experimental design, and, if desired, to work as a visiting researcher in Immunai’s NYC office during the summer.
The position starts Fall 2021 and lasts for two years, with a possibility of renewal. It is a 100% research appointment. A computer and an annual travel stipend will be provided, in addition to the excellent benefits that U Michigan provides to all postdoctoral associates.
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
A Ph.D. in statistics, biostatistics, bioinformatics, computer science, or a related discipline is required.
The College of Literature, Science, and the Arts seeks to recruit and retain a diverse workforce as a reflection of our commitments to serve the diverse people of Michigan, fulfill the College’s Guiding Principles, and sustain the excellence of LSA.
- To learn more about diversity, equity, and inclusion visit http://lsa.umich.edu/lsa/about/diversity--equity-and-inclusion.html
- To learn more about LSA’s Guiding Principles visit http://lsa.umich.edu/lsa/faculty-staff/human-resources/lsa-staff-guiding-principles.html
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U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.