Senior Machine Learning Scientist I, Drug Discovery Analytics

Senior Machine Learning Scientist I to accelerate drug discovery at Revolution Medicines. Develop predictive models to predict compound activity, selectivity, and developability; create predictive frameworks for ADME/Tox and phenotypic outcomes; apply deep learning, graph neural networks, and ensemble methods; collaborate with medicinal chemists and biologists to support target discovery, lead optimization, and translational research; integrate models into discovery pipelines and work with data/ML engineers to deploy solutions. The role emphasizes cross-functional collaboration across chemistry and biology, handling heterogeneous datasets (chemical structures, screening data, molecular simulations), and advancing data-driven discovery through modeling, validation, and deployment. Preferred skills include cheminformatics tools (RDKit, OpenEye), multi-omics analysis, cloud computing, and MLOps for scalable deployment.