Senior Scientist, Machine Learning

Role: Senior Scientist focused on developing a novel molecular modeling platform for small molecule drug discovery using machine learning. Responsibilities: design, train, validate, and optimize generative chemistry models; curate datasets; benchmark model performance; collaborate closely with wet lab teams to align experimental data with computational insights; contribute to scientific direction and technology development. Requirements: Ph.D. in machine learning, computational biology, or related field; 5+ years of industry or postdoctoral experience; expertise in SOTA models (e.g., Boltz-2, ESM-2), molecular modeling tasks (protein structure prediction, ligand docking, protein engineering); proficiency in Python and HPC/cloud workflows; strong organizational, communication, and collaborative skills. Preferred: deep understanding of proteins, experience curating mutational data. HighValue: early-stage biotech, platform development, molecular modeling, generative chemistry, small molecules, preclinical research. WorkSetup: highly collaborative, multidisciplinary environment; location and travel specifics not provided.