Scientist II/Senior Scientist, Computational Biophysics

Highlights

• Define how AI agents use biophysics tools for drug discovery.
• Build validated simulation workflows for automated scientific discovery.
• Scale rigorous biophysics across hundreds of GPUs with traceability.

What they offer

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company wide holidays
• Paid parental leave
• Educational assistance program
• Company subsidized lunch program

Ideal candidate

A first-principles biophysicist who loves making complex simulations trustworthy for others. You thrive at the intersection of science and AI, partnering across teams to turn rigor into automation.

Requirements

• PhD or equivalent experience in computational biophysics, computational chemistry, chemical physics, biophysics, physics, chemistry, or a related field.
• Deep hands-on experience with molecular dynamics simulation, MM/GBSA, and free-energy perturbation methods for RBFE and ABFE.
• Practical experience with open-source molecular simulation and free-energy packages, with strong preference for OpenMM and OpenFE.
• Strong understanding of how to parameterize molecular systems and validate that simulation setups are scientifically sound.
• Demonstrated history of modeling protein-ligand binding and interpreting results for scientific decision-making.
• Ability to reason from biophysical first principles while also building practical workflows that other teams can use.
• Experience translating complex scientific methods into tooling requirements, review standards, and operational workflows.
• Strong cross-functional communication skills and comfort working with computational scientists, ML researchers, research engineers, and drug discovery teams.