- San Francisco, California, United States
- Hybrid
- Full-time · Senior
- 4+ years
The Senior Computational Biologist will own bio data pipelines and interpretation end-to-end, taking data from QC through to target hypotheses and collaborating with ML researchers to support target discovery.
Compensation
competitive salaries, comprehensive benefits, and meaningful early-stage equity
Responsibilities
- Bio data processing and QC: take over, improve and fully automate our in-house pipeline for genetic data analysis
- Run power analyses and use your insights to inform which phenotypes and indications we prioritize, how we scale our database, and which data modalities we collect
- Prove our data and pipelines recover known gene-phenotype associations and approved target-indication pairs, and replicate them against public resources
- Conduct association and causal gene mapping in a selected indication, incl. via rare variant burden tests, colocalization tests, and Mendelian randomization
- Partner with ML researchers on data preparation, multi-modal integration and shared evaluation
Requirements
- PhD in statistical genetics, computational biology, bioinformatics, or similar
- Nice to have: target discovery
- Nice to have: human genetics
- Nice to have: biotech
- Nice to have: biopharma