ML Research Scientist - Computational Biophysics

Merge Labs is a frontier research lab developing brain-computer interfaces that integrate biology and artificial intelligence. The ML Research Scientist will develop molecular dynamics pipelines, integrate physics-based models with machine learning, and build predictive frameworks to accelerate molecular engineering and experimental discovery. The role also involves collaborating with wet-lab scientists, validating modeling approaches, and guiding long-term research strategy.

Responsibilities:

• Build the scientific and engineering scaffolding for protein structure modeling, molecular dynamics, and integrations with downstream ML frameworks
• Collaborate with wet-lab scientists to define tractable optimization objectives and encode domain specific priors and constraints
• Prototype modeling frameworks using internal and public datasets; benchmark and validate performance
• Serve to non-domain experts for democratization of first-principles analysis
• Drive the development of ML frameworks that explicitly incorporate first-principles priors
• Stay up-to-date with the latest research in deep-learning, molecular dynamics, and protein structure modeling and prototype novel algorithms that can be deployed to improve the company’s discovery or development workflows
• Contribute to the long-term research roadmap and serve as a thought-leader for scientists