Post Doc Scientist, Structural Biology and Chemistry

Role: Postdoctoral Scientist supporting Gilead's Structural Biology and Chemistry department, focusing on AI/ML applications in Small Molecule Drug Discovery. Objectives include evaluating and validating AI/ML tools across drug discovery stages, from hit identification to lead optimization, utilizing Gilead's data and structures. Responsibilities encompass implementing virtual screening techniques, assessing models for properties like permeability, and communicating findings via publications and presentations. Requirements: Ph.D. with relevant research experience in AI/ML applied to drug discovery or computational chemistry; proficiency in Python, ML frameworks, and cheminformatics tools like RDKit; strong analytical, communication, and organizational skills. Preferred: knowledge of structural biology and chemistry, expertise in uncertainty quantification, and experience with molecular modeling. High-Value: AI/ML models for small molecules, drug discovery, hit-to-lead, property prediction, and virtual screening; collaborations with computational chemists and AI scientists; three-year fixed-term position. Work setup: not specified.