Postdoctoral Research Associate in Statistical Genetics
University of Virginia · Charlottesville, VA · Virginia
- Role
- Data scientist
- First seen
- Sep 13, 2026
- Closes
- Not listed
- Salary
- Competitive and commensurate with experience
Apply on the Virginia portal
Applications go through the state’s official system — CivicWorks only tracks the posting.
Summary
The Chu Lab in the Department of Genome Sciences at the University of Virginia School of Medicine seeks a postdoctoral associate to develop statistical methods for mapping cell-type-specific expression quantitative trait loci (eQTLs) from bulk RNA-seq cohorts using single-cell RNA-seq data as reference. The work extends the lab's Bayesian deconvolution framework (BayesPrism) and includes opportunities to develop deep generative models for statistical deconvolution. The successful candidate will lead this project, collaborating with faculty across the University while receiving individualized mentorship tailored to career goals.
Key qualifications
- Ph.D. in Statistics, Biostatistics, or related quantitative field
- First-author methods paper demonstrating statistical methodology development with own derivation and implementation
- Working knowledge of hierarchical Bayesian models, mixed models, latent-variable models, or high-dimensional inference
- Proficiency in R or Python
- Experience with eQTL or GWAS analysis (desirable but not required)
Summarized by CivicWorks from the state’s posting — check the official listing for full details.
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