Computational Clinical Scientist
US$132,000 – US$166,000 / yr base salary
Posted 8 Aug 2026
Advertised as “Computational Clinical Scientist II, Clinical Bioinformatics”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- II
- Expected experience
- 2+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$132,000 – US$166,000 / yr |
|---|
Field of studyBioinformatics, Biology, Data Science (or related)
Study levelMaster's or higher
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.
The Opportunity:
In this role, you will work within our Translational Medicine group analyzing and interpreting molecular and clinical data. Analysis will focus on using genomic, protein and other targeted assays to identify and validate predictive biomarkers. The computational clinical scientist will work on various projects in different phases of drug development and contribute to the cross-functional team which includes other bioinformaticians, program leads, medical monitors, biostatisticians other pre-clinical scientists.
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Integrate multiple data sources including circulating tumor DNA, patient enrollment data, molecular profiling (RNA/DNA sequencing outputs), multiplex immunohistochemistry to identify and validate new biomarkers for candidate drugs.
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Work with internal groups, contract research organizations and collaborators to deliver validated biomarker data and analysis.
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Support the development of biomarker related aspects of the trial design where bioinformatic analysis is required, including study protocols, lab manuals, clinical study reports, and other regulatory documents.
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Work with biomarker scientists to support analysis of biomarker readouts (summary statistics, and visualization of efficacy in molecular subgroups).
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Collaborate with preclinical bioinformaticians to design, analyze and interpret experiments to validate biomarkers, understand compound mechanism of action, and identify biomarkers for patient selection and target engagement.
Required Skills, Experience and Education:
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M.S. or Ph.D. in bioinformatics, biology, data science or a related field with emphasis on biological data analysis.
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2+ years of pharmaceutical or biotech experience in bioinformatics focused on oncology, immunology, or related field.