Revolution Medicines - Senior Manager, Pharmacometrician (PK Data Scientist)

Paid / San Francisco Bay Area / Full Time


  • Must be proficient in R programing and development of RStudio / Shiny apps.
  • Must be familiar with the concepts of repeated measures and mixed models.
  • Able to take dynamically assigned pharmacometrics tasks and deliver the results in a timely manner.
  • emonstrated experience and track record in clinical-stage drug development is a big plus but not required.
  • Hands-on experience of using commerical and/or open source ODE / PKPD modeling software is desired.

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:

We are seeking a passionate and energetic individual with strong data analysis background to be part of the Nonclinical Development and Clinical Pharmacology (NDCP) Organization. As a key PK Data Scientist to support the pharmacometrics functions in the department, you will;

  • Build the internal infrastructure for PKPD data preprocessing and visualization.
  • Develop and manage automatic workflows (i.e. data uptake, QC, data integration and reformatting) for clinical PKPD and endpoint data.
  • Apply statistical and computational methods to analyze complex PKPD data.

Required Experience, Skills, and Education:

  • A Ph.D. or M.S. with a quantitative science background (mathematics, statistics, engineering, pharmaceutical sciences, computational biology, etc.).
  • Must be proficient in R programming and development of R-Studio / Shiny apps.
  • Must have working knowledge in time series analysis in the graduate coursework and/or postgraduate job functions.
  • Must be familiar with the concepts of repeated measures and mixed models.
  • 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.
  • Demonstrated experience and track record in clinical-stage drug development is a big plus but not required.
  • Hands-on experience using commerical and/or open source ODE / PKPD modeling software is desired.

Revolution Medicines currently requires that all personnel and visitors to its offices be fully vaccinated against COVID-19. This role will require that the employee meet with company employees and work from the company’s offices. Given that these essential functions of the role must be performed on-site, this position requires full COVID-19 vaccination, subject to applicable law.


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