Postdoc: Statistical Genetics & Cell-Type eQTL Mapping

The Rector & Visitors of the University of Virginia; Charlottesville (VA); On-site; USD 52,000 - 68,000; Full time

Job summary

The Chu Lab at the University of Virginia invites applications for a postdoctoral position in statistical genetics. The appointee will develop statistical methods for mapping cell-type-specific eQTLs using bulk and single-cell data, extending the BayesPrism framework and collaborating across Genome Sciences and UVA.

The successful candidate will lead model development, simulations, manuscript preparation, and code release. A PhD in a quantitative field is required; visa sponsorship is available.

Qualifications

• Ph.D. completed by the start date.
• First-author methods paper with derivation and implementation.
• Experience with hierarchical Bayesian models, mixed models, latent-variable models, or high-dimensional inference.
• Proficiency in R or Python is required; experience with eQTL or GWAS is desirable.

Responsibilities

• Develop and implement statistical models and inference procedures.
• Validate methods through simulation and held-out data.
• Apply methods to study cohort in collaboration with UVA faculty.
• Prepare manuscripts for peer-reviewed journals and present at meetings.
• Release documented software and pursue independent research directions.

Skills

Hierarchical Bayesian models

Mixed models

High-dimensional inference

R or Python

Education

Ph.D. in Statistics/Biostatistics/quantitative field

Tools

R

Python

Job description

The Chu Lab at the University of Virginia invites applications for a postdoctoral position in statistical genetics. The appointee will develop statistical methods for mapping cell-type-specific eQTLs using bulk and single-cell data, extending the BayesPrism framework and collaborating across Genome Sciences and UVA.

The successful candidate will lead model development, simulations, manuscript preparation, and code release. A PhD in a quantitative field is required; visa sponsorship is available.