Machine Learning Scientist II, Drug Discovery Analytics
Revolution Medicines · Redwood City, California, United States
Posted 8 days ago
or apply directly on Revolution Medicines's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 8 days Revolution Medicines's roles stay open a median of 43 days
- Reposted
- No
- Salary listed
- No 0% of Revolution Medicines's roles list one
- Ghost-job risk at Revolution Medicines
- low 0 stale, 6 reposted of 264 open
- Hiring momentum
- 449 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Revolution Medicines's own greenhouse board since 2026-08-03. Full hiring picture for Revolution Medicines.
About this role
The Machine Learning Scientist II at Revolution Medicines will focus on accelerating drug discovery through advanced analytics and AI. This role involves developing predictive models and analytical methods to transform complex datasets into actionable insights, collaborating with various scientific teams, and contributing to a data-driven discovery ecosystem.
- benefits
- 3/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Revolution Medicines as an employer.
What you need
- 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
- 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
Nice to have
- Experience in biotechnology, pharmaceutical, healthcare, or drug discovery environments
- Experience with phenotypic screening, high-content imaging, Cell Painting, morphological profiling, or computer vision for microscopy images
- Familiarity with representation learning, self-supervised learning, embedding generation, dimensionality reduction, clustering, or phenotype discovery
- Familiarity with cheminformatics or molecular modeling tools, such as RDKit or OpenEye
- Experience with multi-omics data analysis, cloud computing environments, MLOps, or scalable model deployment
What you get
- Base pay salary range of $182,000 — $214,000 USD
- Competitive cash compensation
- Robust equity awards
- Strong benefits
- Significant learning and development opportunities.
Worth weighing
- No specific mention of remote work flexibility beyond hybrid
- The role requires collaboration with various scientific disciplines, which may involve complex communication and integration of diverse datasets.
- The salary range is provided, but individual pay may vary based on multiple factors, which could lead to uncertainty in compensation expectations.
Summarised from Revolution Medicines's posting. Read the full original.
Listed by Revolution Medicines on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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