Jobs · Analyst · California

Director, Translational Sciences, Translational Research

Revolution Medicines · San Francisco Bay Area · 4 days ago
HybridAnalyst$211k–$264k/yrFull-time

About the Role

As Director, Translational Sciences, you will be a key member of Translational Research, reporting to the Vice President of Translational Research.

Key Responsibilities

  • 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.
  • Partner across Research, Translational Medicine, Bioinformatics, and Clinical Development to integrate findings into biomarker and development strategies.

Scientific Leadership & Execution

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

Required Qualifications

  • 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 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.

Preferred Skills

  • 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.
  • Experience in RAS-driven cancers is highly desirable.

Pay

Base Pay Salary Range: $211,000 - $264,000 USD. The range displayed 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. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Similar jobs