Post Doc Scientist, Structural Biology and Chemistry
Gilead Sciences · Foster City, CA
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Role summary
This three-year postdoctoral position focuses on evaluating and implementing AI/ML technologies for small-molecule drug discovery within the Structural Biology and Chemistry department. The researcher will assess computational tools across drug discovery stages, conduct virtual screening studies, and investigate machine learning applications for molecular property prediction, while communicating findings through presentations and publications.
What they're looking for
- Ph.D. in chemistry, computational biology, or related field
- Deep expertise in AI/ML applied to drug discovery or computational chemistry
- Strong Python programming and machine learning framework proficiency
- Experience designing and evaluating model validation strategies with uncertainty quantification
- Familiarity with cheminformatics toolkits such as RDKit, OpenEye, or Schrodinger
- Excellent verbal and written communication skills
- Ability to work independently and think critically about complex problems
What you'll be doing
- Evaluate AI tools and ML models for small molecule drug discovery stages from hit identification through lead optimization
- Assess co-folding tools, potency models, and ADME models using Gilead historical data and structures
- Implement and analyze virtual screening methods for ultra-large libraries including active learning approaches
- Investigate machine learning models for predicting heterobifunctional degrader properties using SMILES or conformational ensembles
- Communicate findings through internal presentations, external presentations, and high-impact journal publications
Privacy & handoff
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