Gilead SciencesVerified Source

Post Doctoral Scientist Structural Biology Chemistry Gilead Sciences

Onsite · San Francisco, California
Posted August 7, 2026
payroll

Overview

Join Gilead as a Post Doctoral Scientist leading AI/ML initiatives within Structural Biology and Chemistry. This three year fixed term role focuses on advancing small molecule drug discovery using cutting edge AI technologies. You will collaborate with computational chemists and AI scientists to drive innovation and impact patient outcomes.

What You'll Do9

  • 1Detailed evaluation and analysis of AI tools and ML models impacting small molecule drug discovery stages
  • 2Clear communication of findings through internal presentations and high impact publications
  • 3Utilize historical Gilead data and structures to evaluate co-folding tools potency models and ADME models
  • 4Implement and analyze virtual screening methods including active learning and Thompson Sampling
  • 5Investigate machine learning predictions for heterobifunctional degraders using SMILES strings or 3D conformational ensembles
  • 6Design robust model validation strategies with uncertainty quantification and applicability domain assessment
  • 7Collaborate with cross functional teams to explore AI driven solutions for drug discovery challenges
  • 8Drive independent problem solving and resource identification for complex research questions
  • 9Maintain detailed documentation of methodologies and results for reproducibility

Requirements9

  • 1Ph.D. with minimum 0 years relevant research experience specializing in AI/ML applied to drug discovery or computational chemistry
  • 2Strong programming proficiency in Python and familiarity with ML frameworks
  • 3Expertise with cheminformatics toolkits such as RDKit OpenEye or Schrodinger
  • 4Demonstrated ability to design evaluate and validate machine learning models for chemical property prediction
  • 5Experience with virtual screening techniques including active learning and Thompson Sampling
  • 6Understanding of heterobifunctional degrader property prediction using molecular representations
  • 7Excellent communication skills both verbal and technical for diverse audiences
  • 8Ability to work independently while contributing to collaborative research environments
  • 9Strong organizational skills for managing complex multi stage projects

Salary Insight

Salary not disclosed in listing

Location

Typeonsite
LocationSan Francisco, California

Required Skills

Machine LearningPythonML FrameworksCheminformaticsComputational ChemistryStructural BiologyActive LearningThompson Sampling
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