Scientist I

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 join the Cancer Genomics group in Clinical Biomarker Development, which sits within the Translational Medicine department to develop biomarkers, technology, and computational strategies for our RAS(ON) inhibitor programs. You will drive the application of advanced genomics analyses to maximize insight generation from clinical samples in our Phase I-III studies. This role offers the chance to work in a collaborative and innovative environment, including on cross-functional teams with other computational scientists, biomarker leads, biostatisticians, and preclinical scientists.

As a Cancer Genomics Senior Scientist I in Clinical Biomarker Development, you will:

• Apply advanced analytics and genomics solutions to clinical biomarker data to inform research & development

• Integrate multi-omics datasets to interrogate disease biology and prognosis, mechanisms of resistance, and predict drug response

• Collaborate with cross-functional teams, managing interactions with key stakeholders to deliver robust biomarker analyses and recommend follow-up actions

• Communicate results to expert and non-expert audiences, including internal cross-functional team members and external collaborators, through scientific publications and presentations

Required Skills, Experience and Education:

• A Ph.D. in Cancer Genomics, Genetics, Computational Biology, Bioinformatics, or similar degree.

• A minimum of 2 - 8 years post-PhD experience analyzing cancer genomics data (post-doc, biotech, pharma, diagnostics, or combination).

• A strong foundation in cancer biology, preferably with an understanding of RAS/MAPK signaling pathways in pancreatic, lung, or colorectal cancer.