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. Key Responsibilities 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 GitHub 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 #J-18808-Ljbffr University of California, Davis