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Data Scientist, Bioengineering

Merge Labs· Bioengineering
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San Francisco Bay Area$120k - $200kFull-timePosted 2mo ago

About the role

Data-Scientist who interfaces Ultrasound, synthetic-biology, and research platforms to develop data-analysis pipelines and ML workflows for de-novo design and closed-loop active learning in bioengineering.

Responsibilities

  • Collaborate with wet-lab scientists to define tractable optimization objectives and metrics, and encode domain specific priors and constraints for downstream computational modeling.
  • 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).
  • Contribute to the long-term research roadmap and serve as a thought-leader for scientists.

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.

Skills

Required:Synthetic biologyBiomolecular ultrasoundPython / PyTorch / BoTorch / Pyro
Nice to have:NGS / Omics

Benefits

  • Not explicitly listed in the description.”
Last updated Aug 19, 2026. Interested? Apply on the company site.
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