Join to apply for the Senior Scientist II, Pharmacometrics role at Revolution Medicines
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Join to apply for the Senior Scientist II, Pharmacometrics role at Revolution Medicines
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 professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
We are seeking a passionate and experienced pharmacometrician with strong Exposure-Response (E-R) modeling background to be part of the Nonclinical Development and Clinical Pharmacology (NDCP) Organization.
As a key member of the pharmacometrics group, you will:
- Provide strong pharmacometrics support as well as author technical reports and/or regulatory documents for major milestones of clinical development (EOP1/EOP2/NDA/sNDA).
- Develop and apply state-of-the-art statistical and machine learning methods to assess the associations between exposures and clinical endpoints.
- Leverage your statistical training and pharmacometrics work experience to conduct E-R analysis and interpret the E-R results with rigor.
- Lead the efforts of building internal NCA pipeline with FDA compliance and preparing submission-ready NCA package for CSR.
- Engage and work with consultants and/or CROs on pharmacometrics activities that complement in-house capabilities.
- Represent the pharmacometrics function in project teams and build strong working relationships with cross-functional teams.
- A Ph.D. or Pharm.D. from a quantitative science background (pharmaceutical sciences, statistics, etc.) with 6+ years of relevant industry experience in pharmacometrics.
- Demonstrated experience and track record in E-R analysis and dose optimization.
- Well-informed in current and emerging standards of regulatory requirements and expectations for pharmacometrics and clinical pharmacology.
- Solid knowledge and hands-on experience of statistical modeling (generalized linear models, survival models, mixed models, etc.) is required.
- Proficiency in R programming is required.
- Able to take dynamically assigned pharmacometrics tasks and deliver the results in a timely manner.
- Excellent verbal and written communication skills, and ability to clearly convey complex concepts and findings to both non-specialist and specialist audiences.
- A critical thinker and passionate team player and quick learner with high energy who thrives in a dynamic and fast-paced environment.
- Ph.D. in statistics or a Ph.D. in pharmaceutical sciences with a M.S. degree in statistics.
- Prior experience with small molecules in the oncology space.
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 .
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Research and Science
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
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