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. Position Responsibilities 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 hypothesesIntegrate multi-trait genetic association, functional annotations, and ‘omics data to elucidate molecular mechanisms and tissue-specific biologyCharacterize variants, genes, and pathways of interest via common and rare variant association analyses in biobank-scale studies (e.g. UK Biobank, All of Us) Candidate Requirements PhD in Statistical Genetics or a related field with 3+ years of relevant postdoctoral or industry experienceScientific rigor, strong verbal and written communication skills, and self-motivation are criticalDeep expertise in statistical genetics, including GWAS and RVAS methods, and hands-on experience with relevant softwareDeep expertise in post-GWAS analyses, including statistical fine-mapping, colocalization, and Mendelian Randomization, and hands-on experience with relevant softwareExperience 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 preferredExpertise in phenotype generation and cross-biobank phenotype curation and harmonization a plusProficiency with unix, advanced hands-on experience in Python and R, and code documentation and version control (e.g. GitHu