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Redwood City, California, United States
Hybrid
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.
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.
Work with internal groups, contract research organizations and collaborators to deliver validated biomarker data and analysis.
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.
Work with biomarker scientists to support analysis of biomarker readouts (summary statistics, and visualization of efficacy in molecular subgroups).
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:
M.S. or Ph.D. in bioinformatics, biology, data science or a related field with emphasis on biological data analysis.
2+ years of pharmaceutical or biotech experience in bioinformatics focused on oncology, immunology, or related field.
Proficiency and experience programming using R and/or Python.
Proficiency in statistical models and analysis of clinical data. Some ML experience a strong plus.
Proficiency in visualizations and faceting of molecular data necessary (oncoplots, heatmaps, PCA, etc.).
Experience with efficacy, baseline demographic, and other outcome data generated in a clinical trial.
Experience with statistical methods i.e. survival analysis, and causal inference.
Expertise in bioinformatic analysis of cancer signaling pathways and driver mutations.
Experience in tools to analyze cancer genomics data types (RNA, WES, ctDNA, etc) and common tool outputs (GATK, Salmon, OncoKB, VEP, etc.) preferred.
Preferred Skills:
Development with professional software development systems and methods (e.g. IDE’s, ticketing systems, version control systems).
Familiarity with large public/private genomic data sets (GDC, TCGA, etc.).
Familiarity with clusters, containers, and cloud computing infrastructure for data processing, analysis, and storage.
Experience in tools to analyze cancer genomics datasets (GATK, Salmon, OncoKB, VEP, etc.).
#LI-EM1 #LI-Hybrid
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 privacy@revmed.com.
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 careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.
