Sr. Biological Data Scientist

The Computational Genetics team seeks a full-time data scientist to extract insights from population genomics data, leveraging methods from multiple disciplines including computational genetics, statistical inference, machine learning, and simulation frameworks.

Key Responsibilities

• Design and interpret analyses of traits in large-scale population cohorts
• Perform integrative analyses of human genetics and EHR data for target identification and biomarker discovery
• Collaborate with biology, clinical, and business development teams
• Communicate findings through presentations, reports, and scientific publications

Required Qualifications

• PhD in Statistical Genetics, Human Genetics, or Computational Biology with 5+ years industry experience
• Hands-on experience with UK Biobank and All of Us data (must describe relevant projects on resume)
• Python proficiency
• Extensive QC and analysis experience with human genetics data (WES/WGS/array genotyping)
• Familiarity with genomics databases (gnomAD, GTEx, 1000 Genomes, TOPMed)
• Unix/Linux and AWS cloud experience; SQL/Postgres database skills
• Git version control expertise
• Strong written and verbal communication
• Publication and conference presentation record
• Demonstrated adaptability with AI-powered tools

Benefits

• 100% employer-paid medical/dental/vision premiums
• 401(k) with employer match
• Unlimited flexible PTO
• Paid parental leave (4 months birthing, 2 months non-birthing)
• Professional development via LinkedIn Learning, BetterUp Coaching