Statistical Geneticist

Open Market Rate Summary of Position:

We seek a statistical geneticist to leverage cutting-edge human genetic datasets and methodologies to identify and validate therapeutic targets and biomarkers to support pipeline.

• Leverage existing human genetic association studies and post-GWAS methods (e.g. co-localization, fine-mapping, Mendelian Randomization) to identify causal disease pathways and therapeutic hypotheses
• Integrate multi-trait genetic association, functional annotations, and ‘omics data to elucidate molecular mechanisms and tissue-specific biology
• Characterize variants, genes, and pathways of interest via common and rare variant association analyses in biobank-scale studies (e.g. UK Biobank, All of Us)

• PhD in Statistical Genetics or a related field with 3+ years of relevant postdoctoral or industry experience
• Scientific rigor, strong verbal and written communication skills, and self-motivation are critical
• Deep expertise in statistical genetics, including GWAS and RVAS methods, and hands‑on experience with relevant software
• Deep expertise in post-GWAS analyses, including statistical fine‑mapping, colocalization, and Mendelian Randomization, and hands‑on experience with relevant software
• Experience cleaning, processing, and analyzing individual‑level, biobank‑scale genetic and phenotypic data; practical experience implementing workflows on UKB RAP and All of Us Researcher Workbench highly preferred
• Expertise in phenotype generation and cross-biobank phenotype curation and harmonization a plus
• Proficiency with unix, advanced hands‑on experience in Python and R, and code documentation and version control (e.g. Git Hu