Data Scientist, Bioengineering for Brain-Computer Interfaces

Slope; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Merge Labs in San Francisco seeks a Data-Scientist to bridge ultrasound, synthetic biology and research platforms, building rigorous data-analysis pipelines that surface actionable insights for experimental and computational researchers.

You will collaborate with ML researchers to develop and run ML pipelines that enable de-novo design and closed-loop active learning across bioengineering domains, translating raw data into reproducible, production-grade code.

Qualifications

• Experience bridging ML and experimental science.
• Experience with sparse, noisy, or high-cost data.
• Proficiency in Python and ML frameworks for data-analysis pipelines.

Responsibilities

• Collaborate with wet-lab scientists to define tractable objectives and encode domain priors for modeling.
• Stay current with synthetic biology, ML-guided molecular engineering, and data-analysis methods for biological data.
• Contribute to long-term research roadmap and act as a thought-leader for scientists.

Skills

Python

Data analysis

Machine learning

Tools

PyTorch

BoTorch

Pyro

Job description

Merge Labs in San Francisco seeks a Data-Scientist to bridge ultrasound, synthetic biology and research platforms, building rigorous data-analysis pipelines that surface actionable insights for experimental and computational researchers.

You will collaborate with ML researchers to develop and run ML pipelines that enable de-novo design and closed-loop active learning across bioengineering domains, translating raw data into reproducible, production-grade code.