The department of Biostatistics and Bioinformatics at Duke University School of Medicine is recruiting a postdoctoral research associate in single-cell genomics and multi-omics analysis, jointly supervised by Drs. Cliburn Chan, Pixu Shi, and Jichun Xie. The position emphasizes developing novel statistical and computational methods to analyze longitudinal single-cell and multi-omics datasets. The primary study areas include, but are not limited to, the following.

1. Multiscale longitudinal important genomic feature selection in single-cell and multi-omics datasets; 2. Mendelian randomization, causal inference, mediation analysis, and integrative omics analysis; 3. Identifying cell subpopulations with specific signatures and further characterizing the subpopulations.

The candidate will be responsible for developing new methods, benchmarking their performance, and comparing with competing methods, and applying them to large-scale longitudinal multi-omics and single-cell datasets.

Candidates must have or expect to have by the position starting time a Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics/Applied Mathematics, or a related quantitative discipline. Candidates with experience in high-dimensional statistics, machine learning, or causal inference are preferred. A strong computational background is required. The initial term for the appointment is two years with the possibility of extensions. This position is part of a large research initiative, and the successful candidate will join a team of faculty, staff, postdocs, and graduate students collaborating to create new methods for the analysis of single-cell, spatial, and other omics datasets.

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