Data Scientist, Bioengineering

Merge Labs • San Francisco, CA

5d • $120,000 - $165,000

About The Position

Merge Labs is a frontier research lab focused on bridging biological and artificial intelligence to enhance human ability, agency, and experience. We are developing advanced brain-computer interfaces that are high-bandwidth, AI-integrated, safe, and accessible. The data science group at Merge operates at the intersection of computational modeling, neuroscience, and biomolecular engineering, collaborating with wet-lab scientists, automation engineers, and data engineers to build ML frameworks for accelerating discovery and device optimization. This role specifically requires a Data Scientist to work with Ultrasound, synthetic biology, and research platforms (imaging, sequencing) to develop rigorous data-analysis pipelines. The individual will collaborate with experts in ML, Ultrasound, synthetic biology, and data engineering to transform raw data into actionable insights. They will also work with ML researchers to develop and run ML pipelines for de-novo design and closed-loop active learning in bioengineering domains like delivery, immunology, synthetic biology, and protein engineering.

Requirements

• 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.
• Comfort writing clean, reproducible production grade code.
• Experience bridging machine learning and experimental science, especially working with sparse, noisy, and or high-cost data.

Responsibilities

• Collaborate with wet-lab scientists to define tractable optimization objectives and metrics.
• Encode domain specific priors and constraints for downstream computational modeling.
• Stay current with research in Synthetic Biology and ML-guided molecular and cellular engineering.
• Stay current with data-analysis methods and techniques for biological data (OMICS, Agentic-workflows).
• Contribute to the long-term research roadmap.
• Serve as a thought-leader for scientists.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed