About the role
Machine Learning Scientist II at Revolution Medicines, a hands-on individual-contributor role developing and applying machine learning models to accelerate RAS-addicted cancer drug discovery. Working at the interface of data science, chemistry, and biology, the role supports target discovery, compound optimization, and phenotypic screening, building supervised, deep-learning, graph-based, and ensemble models on chemical, biological, imaging, and screening datasets in collaboration with medicinal chemists and biologists.
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