Description
Revolution Medicines is hiring a Machine Learning Scientist II to develop and evaluate predictive models for drug discovery, including compound activity, selectivity, developability, target engagement, and phenotypic screening. The individual contributor will perform exploratory data analysis, prepare heterogeneous chemical, biological, imaging, and simulation datasets, apply supervised learning, deep learning, graph-based methods, and ensemble methods, validate models, and collaborate with data engineering, machine-learning engineering, medicinal chemistry, biology, and other research teams. The role requires a relevant Ph.D. or M.S. with industry experience, typically 6–8 years of relevant experience, strong Python and scientific computing skills, and familiarity with major machine-learning frameworks. The position is full-time and hybrid, with a base salary of $202,000–$238,000 USD for candidates working onsite at the Redwood City headquarters.
