Senior Machine Learning Scientist II, Drug Discovery Analytics

What this role involves

Revolution Medicines seeks a Senior Machine Learning Scientist to develop predictive models and analytical methods for drug discovery. The role involves applying advanced ML techniques to chemical and biological datasets, collaborating with experimental scientists, and integrating models into discovery pipelines. Requires a PhD and 6-10 years of experience in machine learning applied to scientific data.

Skills this posting asks for

• machine learning
• deep learning
• graph neural networks
• ensemble methods
• python
• numpy
• pandas
• scipy
• pytorch
• tensorflow
• scikit-learn
• data visualization
• exploratory data analysis
• cheminformatics
• computational biology
• computational chemistry
• statistics
• adme/tox
• predictive modeling
• compound optimization
• translational research

Requirements

• 6 years of experience
• Level: senior

From the employer’s posting

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variant…