Post Doctoral Scholar - Henn Lab

The Henn Laboratory is seeking a Postdoctoral Fellow to advance two integrated research programs: (1) selection-guided GWAS methods applied to underrepresented African populations, leveraging the Northern Cape Tuberculosis Cohort, and (2) inference of adaptive evolution at the HLA/MHC loci in admixed populations. The position involves active collaborations with Brown University and McGill University on the SWIF(r) machine learning toolkit for selection inference.

• Build and maintain QC and variant-calling pipelines for next-generation genomic sequencing data
• Develop population-specific demographic models and encode parameters in stdpopsim format
• Train SWIF(r) per population and selection regime; integrate HLA summary statistics; compute posterior probability distributions
• Develop and validate HLA simulation framework (msprime/SLiM) for directional and balancing selection; release via Git Hub
• Execute selection-guided GWAS for BMI, tuberculosis susceptibility, and skin pigmentation
• Lead peer-reviewed manuscript preparation and conference presentations

• PhD in evolutionary biology, statistical/human genetics, computational biology, or related field
• Experience with population genetic methods and large-scale genomic datasets (WGS, SNP arrays)
• Proficiency in Python and/or R; comfort in Unix/Linux computing environments
• Peer-reviewed publication(s) or manuscripts in preparation