Data Scientist, Bioengineering
$120,000–$200,000 year
On-siteSan Francisco, California, United States
EXPIREDSan Francisco, California, United StatesOn-siteFull Time$120,000–$200,000 yearDoctorate Or Professional DegreeStartup
Full TimeDoctorate Or Professional DegreeStartup
Job Summary
Define tractable optimization objectives and metrics for synthetic biology and computational modeling by collaborating with wet-lab scientists. Develop rigorous data-analysis pipelines that transform raw biological data into actionable artifacts for experimental and computational researchers. Stay current with research in synthetic biology, ML-guided molecular engineering, and data-analysis methods for biological datasets. Contribute to the long-term research roadmap and serve as a thought-leader for scientists across delivery, immunology, and protein-engineering domains.
Required Qualifications
- Deep grounding in synthetic biology, molecular engineering, and computational methods for data-analysis
- Experience in biomolecular ultrasound
- Familiarity with fundamental concepts in NGS, Omics, ML, and molecular engineering
- Proficiency in Python / PyTorch / BoTorch / Pyro and comfort writing clean, reproducible production grade code
- Experience bridging machine learning and experimental science, especially working with sparse, noisy, and or high-cost data
Desired Qualifications
- Stay current with research in Synthetic Biology and ML-guided molecular and cellular engineering, as well as data-analysis methods and techniques for biological data (OMICS, Agentic-workflows)
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