Director, Discovery Sciences & Technologies

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 Revolutionaries in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.

The Opportunity:

Discovery Sciences & Technologies is an integrated functional discovery team that supports a growing oncology and immuno-oncology portfolio. This role is for an experienced drug discovery scientist who can provide hands-on scientific and people leadership across functional discovery, cell-based assays, and screening strategies from hit identification through progression. The position sits at the intersection of assay development, screening, and multiparametric data analysis, translating molecular perturbations into actionable biological insight to enable data-driven target and program decisions. In this role you will:

• Be a key contributor to discovery project teams, partnering closely with Medicinal Chemistry, Structural Biology, Discovery Biology, Screening, and other functions to drive progression from hit identification through lead generation.

• Design and execute predictive screening strategies linking small-molecule perturbation to mechanistic pathway modulation and functional cellular outcomes.

• Provide hands-on scientific leadership across functional discovery and cell-based screening, spanning assay development, cellular target engagement, hit discovery and follow-up, with direct contribution to the development, optimization, and interpretation of biochemical, biophysical, and cellular assays including in vitro pharmacology.

• Lead efforts to generate and interpret multiparametric and multi-modal biological data sets (e.g., imaging, transcriptomics, other complex cellular readouts) to drive actionable insights.

• Partner cross-functionally to align experimental strategy, prioritization, and execution.

• Mentor and develop scientists through hands-on technical guidance, coaching, and feedback, strengthening experimental rigor, scientific judgment, and team impact.

Required Skills, Experience and Education:

• PhD in pharmacology, cell-biology, biochemistry, or a related scientific discipline.

• Minimum of 8 years of industry experience in early-stage drug discovery.

• Demonstrated breadth of experience across multiple stages of discovery with substantial experience in early stages including target identification and validation, hit discovery, hit follow-up and lead generation.

• Experience integrating in vitro biochemical, biophysical, and cellular data to develop mechanistic understanding and inform project decisions.

• Track record of participating on cross-functional project teams in a matrixed discovery environment as a leader and as a contributor.

• Strong experimental design, data interpretation, and problem-solving skills.

• Experience managing scientific teams and demonstrated ability to mentor and develop scientists through technical leadership and scientific coaching.

• Excellent communication skills and ability to influence across disciplines.

Preferred Skills:

• Experience with multiparametric or high-content cellular assays, including imaging-based approaches.

• Familiarity with multi-omics data (e.g., transcriptomics) and their application in early discovery.

• Experience partnering with Advanced Analytics, Systems Biology, or Computational Biology and AI/ML teams.

• Experience contributing to go/no-go decisions at project or portfolio review stages.

• Familiarity with oncology drug discovery. 

  #LI-Hybrid  #LI-LN1

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting 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. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base pay salary range is one part of the overall total rewards program at Re