revolutionmedicines
Director, Translational Sciences, Translational Research
At a Glance
- Location
- Redwood City, California, United States
- Work Regime
- hybrid
- Experience
- 10+ years
- Posted
- 2026-08-05T11:39:06-04:00
Key Requirements
Domain Knowledge
- Biotech
- Clinical
- Education
- Engineering
- Finance
- Medical
- Pharmaceutical
Requirements
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.
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.
Responsibilities
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.