Probablygenetic

Senior Computational Biologist

San Francisco, Remote. Posted 5 days ago

The role

The Senior Computational Biologist will own bio data pipelines and interpretation end-to-end. This person will process genetic data, conduct gene mapping, and collaborate with ML researchers to support target discovery.

What you will do

  • Take over, improve and fully automate in-house pipeline for genetic data analysis
  • Run power analyses to inform phenotype and indication prioritization
  • Prove data and pipelines recover known gene-phenotype associations and approved target-indication pairs
  • Conduct association and causal gene mapping via rare variant burden tests, colocalization tests, and Mendelian randomization
  • Partner with ML researchers on data preparation, multi-modal integration and shared evaluation
  • Hand off prioritized targets to wet lab validation and inform in vitro experimental plans

Required qualifications

  • PhD in statistical genetics, computational biology, bioinformatics, or similar
  • 4+ years post-PhD in academia or industry
  • Proven track record of hands-on experience in processing, analysing and interpreting genetic / genomic data
  • Working knowledge of public human genetic and functional genomics resources (e.g. gnomAD, GTEx, Open Targets, ClinVar)
  • Strong Python skills
  • Experience with workflow managers (e.g. Snakemake)
  • Comfortable working with cloud-scale genomic data resources
  • ML fluency to collaborate closely, support data preparation and have productive discussions
  • Patient-focused and motivated to have a lasting, positive impact on humanity
  • Comfortable in a fast-paced, often ambiguous environment with rapid change
  • Action-oriented and excited to build a company from the ground up

Nice to have

  • target discovery or human genetics experience in biotech or biopharma
  • experience with genetic disease and/or disease-enriched cohorts
  • multi-omics (e.g., transcriptomics, proteomics)

Benefits

  • Competitive early-stage equity grants
  • Generous Flexible Time off policy
  • Parental Leave Benefits (12 weeks for both birthing and non-birthing)
  • Hybrid, flexible work with high-trust and autonomy
  • Pet-friendly office in Downtown SF near transit
  • Company-sponsored team lunch every Thursday
  • Work from anywhere policy, up to 4 weeks a year
  • Regular team retreats
  • Medical, dental, vision, therapy, FSA, and 401k

About the company

Probably Genetic uses a data platform to help drug developers and patient advocacy groups develop and launch treatments for patients with severe, complex diseases. The company is a tight-knit group of problem solvers focused on bioinformatics, AI, and drug development.

Senior Computational Biologist at Probablygenetic | JobZoey