University of Michigan, USA, Postdoctoral Fellow in Xiang Zhou’s group, Department of Biostatistics

Scholarship: Fully-funed
Degree: PhD or MD-PhD
Nationality: International Students
Location: USA
Application deadlines: Open

Scholarship Description:

Applications are invited for a postdoctoral fellow position to join Dr. Xiang Zhou’s research group in the Department of Biostatistics at the University of Michigan. This position emphasizes developing statistical methods and computational tools for high-dimensional biological data from genome-wide association studies and/or functional genomic sequencing studies including single cell and spatial transcriptoimcs. The successful candidate will be undertaking methodological development and will have the opportunity to analyze a variety of large-scale data types. 

Our group has published many influential methodology papers in Nature Biotechnology, Nature Methods, Nature Genetics, Nature Communications, Genome Biology, Nucleic Acids Research, and American Journal of Human Genetics. Publication details are available at

The University of Michigan offers competing salary and excellent benefits. Ann Arbor is a progressive city of about 100,000, with excellent students and a wide variety of sports and musical activities. The city is rated very highly in national surveys for quality of life and has the amenities of a city many times its size. The University of Michigan is also an equal opportunity employer. Women and minorities are encouraged to apply.

 Available Subjects:

  • Biostatistics, statistics, computer science, bioinformatics, computational biology, mathematics.

Eligibility criteria:

  • Applicants should have, or be studying for, a PhD in biostatistics, statistics, computer science, bioinformatics, computational biology, mathematics, or related quantitative discipline.
  • A strong computational background is required.

Application Procedure:

Applicants should send a CV, a short statement of research interests, and contact information of three referees to: Xiang Zhou (734-764-5722, [email protected])