Demo

Statistical Geneticist

Planet Pharma
Cambridge, MA Contractor
POSTED ON 9/22/2026
AVAILABLE BEFORE 3/22/2027
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 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

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