Senior Scientist, Computational Biology/Bioinformatics

Revolution Medicines

Redwood City, CA, US
  • Job Type: Full-Time
  • Function: Life Sciences R&D/Engineering
  • Post Date: 02/16/2021
  • Website:
  • Company Address: 700 Saginaw Drive, Redwood City, CA, 94063

About Revolution Medicines

REVOLUTION Medicines discovers and develops new drugs that harness the therapeutic potential of frontier oncology targets on behalf of cancer patients. Our innovative product engine draws inspiration from nature and evolution, which offer insights into cancer targets, disease mechanisms and therapeutic approaches. We pay particular attention to natural products that are inherently rich with biological function as a result of natural selection and can inform and guide our discovery and development of small molecules that can modulate these targets.

Job Description

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit high-value 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 key player in the Biology Department, reporting to the Head of Cancer Cell and Systems Biology, you will:

  • Make a large impact at a small company committed to improving the lives of cancer patients.

  • Inform novel target identification, compound selection, and precision medicine strategies that directly impact patients and clinical trials.

  • Generate novel insights from large high-throughput sequencing and drug screening datasets to support current and future oncology precision medicine programs that span discovery, preclinical, and clinical stage development.

  • Provide bioinformatics support for diverse cancer ‘omics preclinical projects, including patient derived xenograft models, mouse clinical trials, cancer cell line panel screens, drug combination strategies, and functional genomics and CRISPR screens.

  • Support diverse Discovery and Development projects and team members within the Biology department.

  • Serve as a bioinformatics knowledge source for multiple cross-functional drug discovery project teams.

  • Present frequently to various project teams and to Biology leadership.

  • Interface with the Translational Medicine team to guide clinical diagnostic and patient selection strategies.

  • Collaborate with Biology leadership team to build research bioinformatics capabilities to support demands of RVMD pipeline, including establishing best practices and network of CRO providers, integrating proprietary data with publicly available datasets, and building new informatics capabilities within Revolution Medicines.

Required Experience, Skills, and Education:

  • Ph.D. in computational biology, systems biology, genomics, molecular biology, or related subject, with at least 5 years of additional postdoctoral or industry experience.

  • Experience working with high-throughput sequencing data (e.g. whole genome, exome, RNA-sequencing etc.) and knowledge of gold-standard tools for NGS analysis.

  • Strong programming experience (Python and R required, other languages a plus).

  • Experience with high performance computing and/or cloud environments (e.g. AWS) and command line interface tools (Unix).

  • Familiarity with public cancer genomics, gene expression, and cancer cell line databases (e.g. TCGA, COSMIC, CCLE, etc.). 

  • Excellent written and verbal communication skills.

  • Thrives in a collaborative team setting and ability to take initiative, solve problems and progress projects quickly in a high energy, small company environment.

  • Deep understanding of cancer biology supported by strong publication record with high-quality, impactful publications.

Preferred Experience, Skills, and Education:

  • Experience working with large drug/compound screening datasets (e.g. cell panels, PDX mouse clinical trials).

  • Experience with curve fitting analysis, and statistical models of cell and tumor response to combination drug treatments.

  • Familiarity with biomarker discovery and development.

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.