Research Associate I, Clinical Biomarker Development
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 Research Associate I to join our Clinical Biomarker Development team. The selected candidate will play a vital role in supporting clinical biomarker leads in implementing biomarker strategies for RAS(ON) inhibitor clinical trials. This role offers the chance to work in a collaborative and innovative environment while contributing to ongoing clinical studies.
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Collaborate with Clinical Biomarker Leads, Biomarker Scientists and other Translational Medicine team members in Clinical Biomarker Operations and Clinical Bioinformatics to support the execution of biomarker strategies.
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Perform quality control (QC) on study-related biomarker data and figures that lead to scientific presentations.
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Conduct detailed review of clinically relevant documents for RAS(ON) inhibitor clinical trials to ensure data accuracy, integrity, and compliance with study protocols.
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Work with Clinical Biomarker Operations to facilitate biomarker sample testing and maintain inventories of biomarker samples to support study planning and biomarker data delivery.
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Perform routine analysis of biomarker data under close supervision.
Required Skills, Experience and Education:
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Masters in cancer biology, cell or molecular biology, or a related field with 0-1 years of relevant experience.
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Excellent organizational skills, strong attention to detail, and effective time management with the ability to adapt to shifting priorities.
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Strong written and verbal communication skills.
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Proficiency in quality control of scientific data.
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Ability to thrive in detail-oriented work within fast-paced, team-based environments.
Preferred Skills:
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Hands on experience with data science languages such as R, Python, and SQL.
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Understanding of oncology drug development, clinical trial design, and biomarker integration.
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Familiarity with clinically relevant biomarker platforms, including NGS and qPCR/ddPCR.
#LI-Hybrid #LI-EM1
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.
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Base Pay Salary Range$78,000—$93,000 USDWe 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.
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