Duke University, Biostatistics & Bioinformatics

Position ID:Duke-Biostatistics & Bioinformatics-POSTDOC32 [#20435, 159077]
Position Title: Postdoctoral Associate-Biostatistics
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27710, United States [map]
Subject Areas: Biostatistics / Computational Biostatistics
Computational, Quantitative or Systems Biology
Appl Deadline: finished (2021/11/08, finished 2022/03/21)
Position Description:    

*** this position has been closed. ***

Postdoctoral Associate

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.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

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