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linux aws postgresql sql pythonπ Description
- Design, execute, and interpret analyses of diverse traits in large population cohorts.
- Integrate human genetics and EHR data for target ID and biomarker discovery.
- Analyze diverse data sources (claims, trials, business metrics, pipeline).
- Collaborate with biology, clinical, and business teams to translate findings.
- Communicate results via internal presentations and reports.
π― Requirements
- PhD in Statistical Genetics, Human Genetics, or Computational Biology (3+ yrs).
- Hands-on UK Biobank and All of Us data experience.
- Proficient in Python programming.
- QC, analysis, interpretation of human genetics data (WES/WGS/array).
- Familiar with gnomAD, GTEx, 1000 Genomes, TOPMed.
- Unix/Linux and AWS; SQL, Postgres data querying.
- Git version control and collaborative workflows.
- Excellent written and verbal communication; publications.
π Benefits
- Health care coverage and mental health support.
- Hybrid work model with flexible location.
- Unlimited flexible paid time off; parental leave.
- 401(k) with employer match and employee stock purchase plan.
- Pre-tax commuter benefits and lunch subsidy.
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