Backed by GV.
About the role
We are seeking a Machine Learning Scientist II to help accelerate drug discovery through advanced analytics and artificial intelligence. This hands-on individual contributor will develop and apply predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights for research teams.
What they're looking for
- Ph.D. in machine learning, computational biology, computational chemistry, computer science, statistics, bioinformatics, or a related quantitative field, or a M.S. degree with relevant industry experience
- Typically 2-5 years of relevant experience applying machine learning, data science, or advanced analytics to scientific datasets, relevant doctoral research may be considered
- Demonstrated experience developing, validating, and evaluating predictive or classification models
- Strong Python programming skills and experience with scientific computing libraries such as NumPy, Pandas, and SciPy
- Hands-on familiarity with machine-learning frameworks such as PyTorch, TensorFlow, and/or scikit-learn
- Experience with data visualization, exploratory data analysis, and working with noisy or incomplete experimental datasets
More about this role
Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.
Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor—all in service of patients.
We are seeking a Machine Learning Scientist II to help accelerate drug discovery through advanced analytics and artificial intelligence. This hands-on individual contributor will develop and apply predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights for research teams.
The Machine Learning Scientist II will work at the...
Browse similar: AI jobs · AI startup jobs · Startup jobs · San Francisco Bay Area