Revolution Medicines · 3 days ago
Senior Scientist I, Computational Biology, Genomics
San Francisco Bay Area
Full-time
Onsite
Senior Level
$144K/yr - $180K/yr
5+ years expRevolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies for RAS-addicted cancers. The Senior Scientist I, Computational Biology, Genomics will develop statistical and machine-learning models, integrate various genomic data, and provide scientific leadership while collaborating with cross-functional teams.
Health CareLife ScienceMedical
Responsibilities
Develop and implement statistical and machine-learning models that link cellular states to phenotypic drug-response readouts and resistance mechanisms
Integrate scRNA-seq with bulk RNA-seq, WES, drug-response, and imaging data to build coherent, multi-modal mechanistic hypotheses
Prioritize analysis requests, set realistic deliverables, and adapt to evolving project needs while maintaining scientific rigor
Effectively communicate complex computational findings to diverse audiences, both internally and externally, through presentations, reports, and publications
Serve as a key computational lead, fostering strong collaborations across cross-functional project teams including in vitro and in vivo biologists, chemists, and clinicians, translating complex biological questions into rigorous quantitative tasks and effectively communicating impactful results
Provide scientific leadership and mentorship to junior scientists, guiding them through rigorous code reviews, sophisticated experimental-design discussions, and comprehensive career development plans
Qualification
Required
Ph.D. in Computational Biology, Biomedical Sciences, Systems Biology, or a related quantitative field
5-8 years (or post-doc plus 3-6 years) industry experience applying computational methods to large-scale genomics data
Demonstrated deep expertise and hands-on experience in single-cell transcriptomics analysis using industry-standard tools (e.g., Seurat, Scanpy)
Strong proficiency in modern statistical modeling and machine learning techniques applied to biological datasets
Proficiency in R and Python; experience with workflow languages and containerization
Demonstrated ability to translate complex data into clear, testable biological hypotheses, and to influence project direction through data-driven insight
Preferred
Prior experience working in organizations that mine large quantities of cancer genomics data
Experience deploying scalable computational workflows on cloud platforms (e.g., AWS, Azure) or specialized bioinformatics environments (e.g., DNAnexus), particularly within regulated or clinical-adjacent settings
Track record of peer-reviewed publications, conference presentations, or open-source contributions
Prior mentoring or line-management experience in a biotech setting
Benefits
Competitive cash compensation
Robust equity awards
Strong benefits
Significant learning and development opportunities
Company
Revolution Medicines
Revolution Medicines is an innovative and dynamic organization of expert biologists, chemists, pharmacologists, clinical scientists.
501-1000 employees
H1B Sponsorship
Revolution Medicines has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (18)
2023 (15)
2022 (8)
2021 (1)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$2.25BKey Investors
Royalty PharmaBoxer CapitalNextech Invest
2025-06-24Post Ipo Debt· $250M
2024-12-02Post Ipo Equity· $750M
2023-03-02Post Ipo Equity· $323.6M
Leadership Team
Luan Wilfong
Chief Human Resources Officer
Steve Kelsey
President
Recent News
2025-12-18
2025-12-18
Company data provided by crunchbase