Merge Labs
ML Research Scientist - Computational Biophysics
$200K–$270K
San Francisco Bay Area · On-site · Full-time · Posted Oct 6, 2026
About the job
Develops molecular modeling and machine-learning foundations to support biomolecular analysis, molecular engineering, and experimental discovery.
What you'll do
- Build protein-structure modeling and molecular-dynamics pipelines integrated with downstream ML frameworks.
- Collaborate with wet-lab scientists to define optimization objectives, priors, and constraints; benchmark and validate models.
- Develop ML frameworks incorporating first-principles priors and contribute to research strategy.
What they ask for
- Strong grounding in deep-learning, protein-structure modeling, and molecular dynamics.
- Working knowledge of transfer-learning strategies.
- Proficiency in Python / PyTorch / Jax and ability to write clean, reproducible, production-grade code.
- Experience bridging machine learning and experimental science, including work with sparse, noisy, or high-cost data.
Nice to have
- Familiarity with neuroscience.
- Familiarity with language / state-space models.
Pay
$200K – $270K USD base salary
Tools
Python, PyTorch, Jax
AI focus
Develops machine-learning frameworks that integrate first-principles physics with biomolecular modeling to advance molecular engineering and discovery.
Model-written summary · the original posting is authoritative