Statistical Geneticist

Reference: 630765Posted: 2026-09-17Location: Cambridge, MassachusettsCompany: Planet Pharma GroupContact: ApplicationsEmail: View email address on click.appcast.io Market RateSummary 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 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) Candidate Requirements: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. GitHu