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Senior Scientist I, DMPK

Revolution Medicines

Redwood City, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Biotechnology
  • Post Date: 01/19/2025
  • Website: www.revmed.com
  • Company Address: 700 Saginaw Dr, Redwood City, California 94063, US

About Revolution Medicines

REVOLUTION Medicines discovers and develops new drugs that harness the therapeutic potential of frontier oncology targets on behalf of cancer patients.

Job Description

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

The Opportunity:

We are seeking an experienced PK modeling scientist to be part of the Nonclinical Development and Clinical Pharmacology (NDCP) Organization. This position will be responsible for developing and validating PKPD and PBPK models for small molecule programs to increase mechanistic understanding of compound behavior and distribution, support clinical translation, and drive future discovery and development efforts.  This position will contribute to and support the company’s research and development efforts to create new medicines for cancer patients by harnessing the value of frontier oncology targets – proteins that drive the growth of cancers or that control immune responses that can defeat them.

As a PK modeling scientist, you will:

  • Develop, validate, and refine physiologically-based PK (PBPK), quantitative systems pharmacology (QSP), and semi-mechanistic PK/PD models to support the development and discovery-phase projects.

  • Propose mechanistic in vitro and in vivo experiments to test model assumptions and structure.

  • Provide in silico support for prediction of clinical efficacious doses/exposure and potential combination dose regimens with other cancer therapeutics.

  • Seek and apply innovative modeling approaches to understand and build up tumor resistance in silico models.

  • Work collaboratively with other departments to build internal infrastructure supporting data transfer and quality control.

  • Communicate assumptions, limitations, and high-level conclusions from modeling projects with key stakeholders.

  • Ensure a high level of quality, rigor, and documentation in current and future model-building efforts.

  • Actively work to improve internal modeling capabilities by integrating new technologies and maintaining personal training and scientific growth.

Required Experience, Skills, and Education:

  • A Ph.D. with a quantitative science background (pharmaceutical sciences, mathematics, systems pharmacology, computational biology, etc.) and 3-5 years of industry experience is desired.

  • A strong theoretical understanding of the core concepts, assumptions, and limitations associated with PK modeling is a must.

  • Proficient in the development, calibration, and validation of ordinary differential equation (ODE) and non-linear mixed effect (NLME) models.

  • Hands-on experience with modeling software (Simbiology, Phoenix WinNonlin, NONMEM, etc.) and PBPK model development.

  • Capable of working proactively and independently to deliver high-quality modeling results in a timely manner.

  • Able to effectively communicate modeling assumptions, limitations, and simulation results to non-specialist and specialist audiences.

  • A critical thinker and team player who can work cross-functionally with others.

Preferred Skills:

  • Experience with new and innovative modeling concepts and technologies.

  • Strong track record of communicating modeling and simulation concepts and results to diverse audiences.

  • Knowledge of in vitro and in vivo technologies for addressing modeling assumptions and results.

The base salary range for this full-time position is $144,000 to $180,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base salary is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.

Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com.