Senior Machine Learning Scientist I, Drug Discovery Analytics

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company is seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence.

Requirements

• Develop Predictive Models for Drug Discovery.
• Independently Design and implement machine learning models to predict compound activity, selectivity, and developability.
• Identify and Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.
• Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.
• Evaluate model performance and apply appropriate validation strategies.
• Work with data engineers and ML engineers to integrate models into discovery pipelines.
• Perform exploratory data analysis on chemical, biological, and phenotypic datasets.
• Integrate heterogeneous datasets including: Chemical structure and screening data. Structural biology and molecular simulation outputs.
• Collaborate with Research Scientists.
• Partner with medicinal chemists to support compound design and lead optimization.
• Work with biologists to interpret experimental results and identify new target opportunities.
• Translate scientific questions into computational modeling strategies.

Benefits

• Competitive cash compensation
• Robust equity awards
• Strong benefits
• Significant learning and development opportunities