Data Scientist, Bioengineering

What you'll do

• Work with wet-lab scientists to define optimization objectives and metrics and encode domain-specific priors and constraints for computational modeling.
• Build data-analysis pipelines and collaborate on ML pipelines for de-novo design and active learning in bioengineering.
• Contribute to the research roadmap and advise scientists on relevant research and methods.

What they ask for

• Deep grounding in synthetic biology, molecular engineering, and computational data analysis.
• Proficiency in Python, PyTorch, BoTorch, and Pyro, with ability to write clean, reproducible, production-grade code.
• Experience bridging machine learning and experimental science, especially with sparse, noisy, or high-cost data.

Nice to have

• Experience in biomolecular ultrasound.
• Familiarity with NGS, Omics, ML, and molecular engineering concepts.

Pay

USD 120K – 215K base salary

Tools

Python, PyTorch, BoTorch, Pyro, NGS, Omics

AI focus

Develops and runs ML pipelines for de-novo molecular design and closed-loop active learning across bioengineering domains.