Senior Machine Learning Scientist II, Drug Discovery Analytics
Revolution Medicines · Redwood City, California, United States
Posted about 3 months ago
or apply directly on Revolution Medicines's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Revolution Medicines's roles stay open a median of 78 days
- Reposted
- No
- Salary listed
- No 0% of Revolution Medicines's roles list one
- Ghost-job risk at Revolution Medicines
- high 259 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
- 2026-10-22
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 Senior Machine Learning Scientist II role at Revolution Medicines involves developing predictive models and analytical methods to enhance drug discovery through advanced analytics and artificial intelligence. The position requires collaboration with experimental scientists to analyze complex biological and chemical datasets, supporting target discovery and compound optimization. Responsibilities include designing machine learning models, performing exploratory data analysis, and integrating models into discovery pipelines.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- 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
- PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field
- 6–10 years experience applying machine learning or advanced analytics to scientific datasets
- Proficiency in Python and scientific computing libraries (NumPy, Pandas, SciPy)
- Experience with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
- Knowledge of model development, validation, and evaluation methods
- Experience with data visualization and exploratory analysis
Nice to have
- Experience with cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.)
- Knowledge of multi-omics data analysis
- Familiarity with cloud computing environments
- Experience with MLOps or scalable model deployment
What you get
- Base pay salary range of $229,000 — $269,000 USD
- Competitive cash compensation
- Robust equity awards
- Strong benefits
- Significant learning and development opportunities
Worth weighing
- No specific mention of company culture or team dynamics
- Role may involve dealing with noisy and incomplete datasets which could impact model performance
- Salary range provided but may vary based on local market and individual qualifications
Summarised from Revolution Medicines's posting. Read the full original.
Listed by Revolution Medicines on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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