Job Details

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding scientists in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

The Opportunity:

As a Vice President reporting to the Head of Translational Research in Biology, the individual will collaborate with colleagues in Research and Development to define and execute on a vision for translational research of our RAS(ON) tri-complex inhibitor pipeline. The individual will lead a team focused on discovery and validation of biomarkers of therapeutic response and resistance to RAS(ON) inhibitors in RAS-addicted cancers. The science emerging from these efforts is expected to enable translational biomarker and combination strategies for RAS(ON) inhibitors and drive reverse translation to inform early discovery programs and disease area learnings. Responsibilities include critical oversight of biomarker discovery efforts ranging from big data mining, biomarker/target validation, and integration with modern data analytics to translational assay development and generation of complex preclinical models for biomarker discovery and reverse translation. We are seeking an experienced and visionary leader with strong interpersonal skills and an ability to lead a strong and diverse translational research team. The ideal candidate will:

1. Define and implement translational research strategies for RAS-driven diseases: supervising an internal team of highly experienced and accomplished in vitro, in vivo, and computational biologists to identify and validate candidate biomarkers and drive therapeutic and combination strategies.
2. Drive efforts to organize and harmonize large data sets: across the organization, as part of a digital data transformation initiative, and accelerate integration of mining of large scale preclinical and clinical datasets into our translational research strategy.
3. Be accountable for a sophisticated biomarker assay core: that can meet diverse needs across research, including development and validation of complex assays that can be implemented on preclinical and clinical samples, e.g., novel IHC, FISH and digital PCR capabilities.
4. Supervise a genetic pharmacology group: developing state of the art complex genetically engineered models of cancer and implementing reverse genetic (cause and effect) approaches to test biomarker/pharmacogenomic hypotheses and evaluate new targets.
5. Leverage strong cross-functional skills: to develop productive collaborations with diverse groups across the organization including research, development, and project teams.
6. Engage with external collaborations: including academic centers, CROs, non-profit organizations and experts to drive execution of key projects and bring in new technologies.
7. Be a strategic leader and thought partner for disease area strategy initiatives: to accelerate our pipeline, stay up to date with industry trends to identify future translational gaps and opportunities, develop plans to implement and help programs pivot to ensure future success.

Required Skills, Experience, and Education:

PhD in molecular oncology or equivalent training and background in the principles of oncology.

10+ years of experience in oncology drug discovery in a life sciences environment.

Proven leadership of cross-functional research efforts and experience working at the interface between discovery and development within the oncology field is essential.

Strong strategic management/coordination skills, with the ability to develop project roadmaps, manage timelines, and align key stakeholders across departments.

Computational biology skills and/or experience with large data mining; familiarity with life science software platforms (e.g. Benchling), cloud-based storage, integration, and compute infrastructures.

Exceptional communication, collaboration, and leadership abilities, particularly in tackling complex projects involving diverse scientific, technical, and leadership teams.

Preferred Skills:

Small molecule drug development skills are a plus.

Direct experience with GEMMs and genetic engineering technologies.

Experience coordinating the curation, ingestion, and harmonization of legacy scientific data across internal, external, public, and licensed data sources.

Ability to work in a high-energy, fast-paced, rapidly evolving and scaling company, operating in a highly competitive field.

The base salary range for this full-time position is $284,000 to $355,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base salary 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.