ML Research Scientist - Computational Biophysics
Merge Labs, San Francisco Bay Area
The role
We’re hiring a Senior / Principal ML Biophysicist to lead the development of scalable molecular dynamics pipelines and integrate physics-based models with machine learning frameworks. Starting from first principles, you’ll architect the company’s molecular modeling foundations—establishing tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics to function relationships. Over time, you’ll help translate these into predictive frameworks that accelerate molecular engineering, inform experimental campaigns, and enable the discovery of highly functional molecules.
What you will do
- 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.