Opportunity type
Internship
Cause areas
Global health & development
Routes to impact
Skill-building & building career capital
Learning about important cause areas
Testing your fit for a certain career path
Skill set
Research
Software engineering
Location
NYC or SF Bay Area (Hybrid)
Description
A hybrid internship for graduate students in computational chemistry or machine learning who want to build and deploy cutting-edge molecular prediction tools in real drug discovery programs.
- Research ownership – Lead a novel project improving potency and ADME/PK prediction tools from idea to validated results
- Technical depth – Prototype state-of-the-art ML and physics-based methods, and run large-scale benchmarks on internal and public datasets
- Cross-functional impact – Collaborate with medicinal chemists and drug discovery scientists to deploy models into active programs
- Mentorship – Work closely with a senior researcher while contributing to a world-class ML and computational chemistry team
Based in NYC or the SF Bay Area (hybrid). Learn more and apply via Genesis Molecular AI’s careers page.
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