Senior Machine Learning Scientist II, Drug Discovery Analytics
Redwood City, California, United States · On-site
$251k–$295k/yr
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Senior Machine Learning Scientist II, Drug Discovery Analytics
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$251k–$295k/yr
Full-time
postgraduate degree
Cash Compensation, Equity Awards, Learning And Development Opportunities
Posted 20d ago
~40 hrs/week
Responsibilities
Develop predictive machine learning models to predict compound activity, selectivity, and developability for drug discovery. Collaborate with medicinal chemists and biologists to translate scientific questions into computational strategies and analyze complex biological datasets.
Requirements
Requires a PhD in a quantitative field such as machine learning or computational biology with 6-10 years of experience applying analytics to scientific data. Proficiency in Python and major ML frameworks like PyTorch or TensorFlow is essential.
Full job description
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 variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.
The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.
The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.
Key responsibilities include:
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.
Analyze Complex Scientific Data.
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.
Required Skills, Experience and Education:
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.
Python and scientific computing libraries (NumPy, Pandas, SciPy).
Model development, validation, and evaluation methods.
Data visualization and exploratory analysis.
Experience working with noisy and incomplete experimental datasets.
Preferred Skills:
Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).
Multi-omics data analysis.
Cloud computing environments.
MLOps or scalable model deployment.
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.
Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact [email protected].
Base Pay Salary Range
$251,000—$295,000 USD
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message. Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address. If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to [email protected] so we can share these impersonations with our IT team for tracking and awareness.
Related keywords
Drug DiscoveryOncologyRAS ProteinsADME/ToxPhenotypic ScreeningRDKitOpenEyeNumPyPandasSciPyStructural BiologyMolecular SimulationTarget DiscoveryCompound OptimizationTranslational ResearchData Science
Revolution Medicine enables physicians to integrate personalized medicine into their practices in order to more effectively treat patients.
Our genes play an important role in determining how we respond to about 75% of prescription drugs. Scientific research has demonstrated which genes predict these responses. According to the American Medical Association (AMA), 98% of physicians agree that knowing a patient’s genetic profile would help in prescribing medications. Yet, 90% of physicians do not feel they are adequately informed about how to apply genetic testing to treatment decisions.
Our mission is to improve the quality of patient care by helping doctors determine optimal treatment strategies and more accurately predict treatment responses. Revolution Medicine has developed ScriptMatch, an analytical process that enables physicians to easily incorporate genetic testing into their practices.
Our company solves a major issue in the clinical market and addresses an emerging trend in patient-driven healthcare: having clinical results that become part of the medical record and applicable to future treatments.
How much do Technology jobs in Redwood City, CA pay?
Based on 267 listings with disclosed salaries, most technology jobs in Redwood City, CA pay between $130k–$260k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Redwood City, CA right now?
There are currently 340 open technology positions in Redwood City, CA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Redwood City, CA?
Companies currently hiring include Delinea, Luma, Box, C3 AI, Revolution Medicine, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Redwood City, CA?
Yes — 216 of the 340 open technology positions offer remote or hybrid work (58 remote, 158 hybrid).
How do I apply for Technology jobs in Redwood City, CA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.