Revolution Medicines logo
Revolution Medicines

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. The base pay salary range for this full-time position is $244,000 — $305,000 USD.

Director of Pharmacometrics

DirectorDirectorFull TimeRemoteLeadTeam 548Since 2014Company Site

Location

United States

Posted

56 days ago

Salary

$211K - $264K / year

Seniority

Lead

No structured requirement data.

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We are seeking a passionate and experienced individual with strong statistical modeling background to be part of the Nonclinical Development and Clinical Pharmacology (NDCP) Organization.

As a key member of the pharmacometrics group, you will:

  • Develop and apply advanced statistical and machine learning methodologies to address complex scientific questions in PK/PD and exposure-response analysis.
  • Design and implement model-based meta-analysis (MBMA) frameworks to integrate internal PKPD data and external data to inform clinical pharmacology strategies.
  • Provide statistical and quantitative modeling support for key development decisions, including dose optimization and RP2D selection.
  • Collaborate cross-functionally to ensure modeling approaches are scientifically rigorous, fit-for-purpose, and aligned with program objectives.
  • Contribute to the continuous advancement of quantitative science capabilities, including method development, best practices, and adoption of innovative analytical approaches.

Qualifications

  • PhD in Statistics/Biostatistics, Pharmaceutical Sciences or MS in Statistics with five years of experience in MBMA in pharmaceutical industry.
  • Solid knowledge and hands-on experience in hierarchical models and Bayesian inference.
  • Solid knowledge and hands-on experience in standard statistical modeling (generalized linear models, survival models, mixed models, etc).
  • Demonstrated experience in meta-analysis, including the application of appropriate statistical methods to model between-study variabilities.
  • Proficiency in statistical programming using R.
  • Excellent verbal and written communication skills, and ability to clearly convey complex concepts and findings to both non-specialist and specialist audiences.
  • Experience and track record in clinical-stage drug development.

Requirements

  • Prior experience with small molecules in oncology drug development.
  • Local candidates are preferred, but strong remote candidates will be considered.

Benefits

  • Competitive cash compensation.
  • Robust equity awards.
  • Strong benefits.
  • Significant learning and development opportunities.

Company 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.

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.

Job Requirements

  • PhD in Statistics/Biostatistics, Pharmaceutical Sciences or MS in Statistics with five years of experience in MBMA in pharmaceutical industry.
  • Solid knowledge and hands-on experience in hierarchical models and Bayesian inference.
  • Solid knowledge and hands-on experience in standard statistical modeling (generalized linear models, survival models, mixed models, etc).
  • Demonstrated experience in meta-analysis, including the application of appropriate statistical methods to model between-study variabilities.
  • Proficiency in statistical programming using R.
  • Excellent verbal and written communication skills, and ability to clearly convey complex concepts and findings to both non-specialist and specialist audiences.
  • Experience and track record in clinical-stage drug development.
  • Prior experience with small molecules in oncology drug development.
  • Local candidates are preferred, but strong remote candidates will be considered.

Benefits

  • Competitive cash compensation.
  • Robust equity awards.
  • Strong benefits.
  • Significant learning and development opportunities.

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