Applications are invited for a postdoctoral fellow position to join Dr. Xiang Zhou’s lab in the Department of Biostatistics at the University of Michigan. The Zhou lab is a well-established statistical and computational genomic research group. Dr. Zhou’s group has been working on developing various statistical and computational methods for large-scale genetic and genomic studies that include genome-wide association studies, single cell RNA sequencing studies, and spatial transcriptomics. Zhou lab has published over 100 papers in top journals, such as Nature Biotechnology (Ma and Zhou, 2022), Nature Methods (Sun et al., 2020), Science Advances (Yuan et al., 2022), Nature Communications (Yuan et al., 2020; Ma et al., 2020), AJHG (Li et al., 2022; Liu et al., 2021; Yang and Zhou, 2020; Shang et al., 2020), and Genome Biology (Zhu et al., 2021). Example recent publications are available at www.xzlab.org/papers.html. The successful candidate will be undertaking methodological development and will have the opportunity to analyze a variety of large-scale genetic and genomic data types.
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.
Applicants should send a CV, a short statement of research interests, and contact information of three referees to: email@example.com