Director, Translational Sciences, Translational Research

Revolution Medicines•Redwood City, CA

9h•$211,000 - $264,000•Onsite

About The Position

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: As Director, Translational Sciences, you will be a key member of Translational Research, reporting to the Vice President of Translational Research focusing on: Lead the scientific strategy and execution of the Translational Research Assay Core, ensuring delivery of high-quality, innovative assays supporting discovery and translational programs. Establish and continuously evolve assay platforms that enable biomarker discovery, pharmacodynamic assessments, mechanism-of-action studies, and translational hypothesis testing. Drive exploratory translational research aimed at understanding mechanisms of sensitivity, intrinsic resistance, and acquired resistance across the Revolution Medicines portfolio. Develop and execute mechanistic studies using patient-derived samples, preclinical models, and emerging technologies to generate actionable biological insights. Identify novel therapeutic vulnerabilities and rational combination strategies based on clinical and preclinical findings. Translate observations from clinical studies into research hypotheses that inform target discovery, drug discovery, and translational strategies. Foster seamless bidirectional translation between clinical observations and discovery research. Apply functional genomics, single-cell and spatial approaches, and complementary molecular and cellular methods to generate decision-enabling data. Partner with computational scientists to integrate multi-omic datasets with functional biology and generate mechanistic insights. Cross-functional Leadership: Partner across Research, Translational Medicine, Bioinformatics, and Clinical Development to integrate findings into biomarker and development strategies.

Requirements

PhD, MD, or equivalent advanced degree in cancer biology, molecular or cellular biology, biological engineering, translational sciences, or a related discipline, with 10+ years of relevant experience.
Deep expertise in oncology biology and demonstrated success connecting human disease or clinical observations to experimental models and drug-development hypotheses.
Strong knowledge of targeted therapy, oncogenic signaling, and mechanisms of drug response and resistance; experience in RAS-driven cancers is highly desirable.
Experience with functional genomics and high-dimensional profiling technologies, including single-cell, spatial, or integrated multiomic approaches.
Proven ability to lead cross-functional research, influence strategy, and communicate clear, decision-oriented recommendations.

Nice To Haves

Experience establishing or scaling laboratory-based reverse translation or translational research capabilities in biotechnology or pharmaceutical settings.
Hands-on experience with patient-derived specimens or models, perturbational studies, and validation of biomarkers or resistance mechanisms.
Breadth across tumor-intrinsic and tumor-microenvironment biology and experience integrating experimental and computational data.

Responsibilities

Scientific Leadership & Execution: Design, prioritize, and interpret rigorous studies using clinically relevant models and patient-derived materials to address key translational questions.
Reverse Translation & Resistance Biology: Convert patterns of response, non-response, and progression into experimental studies that define mechanisms and inform novel therapeutic targets and/or combination strategies.
Data Integration: Integrate experimental results with clinical, biomarker, and computational datasets to generate actionable insights.
Capability Building: Establish and evolve internal workflows, evaluate new technologies, mentor scientists, and manage external research partners as needed.