Scientist II, Pharmacometrician

Revolution Medicines; San Francisco (CA); Hybrid; USD 132,000 - 199,000; Full time

Job summary

Revolution Medicines seeks a PhD‑level statistician to support pharmacometrics in our oncology-focused team. You will build exposure–response and DDI models, apply advanced statistical and machine‑learning methods, and interpret results to guide dose selection in clinical studies.

Hybrid work arrangement; employees reside in the San Francisco Bay Area and may work remotely two days per week. Base pay is disclosed and total rewards include equity and comprehensive benefits.

Qualifications

• Ph.D. or equivalent in Statistics, Biostatistics, Mathematics or related field.
• Experience applying statistical methods to real-world biotech or pharma datasets.
• Ability to present complex results to diverse audiences in biotech/pharma.

Responsibilities

• Be a statistical modeler and support pharmacometrics in the department.
• Build standard statistical models for exposure–response and drug–drug interaction analyses in clinical studies.
• Develop and apply state‑of‑the‑art statistical and ML methods to identify exposure‑response associations.
• Interpret ER results to guide dose‑finding decisions.

Skills

Bayesian inference

Hierarchical models

GLMs

Survival models

Mixed-effects models

Data analysis

Education

Ph.D. or equivalent in Statistics/Biostatistics/Mathematics

Tools

R

SAS

Job description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.

Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor—all in service of patients.

The Opportunity:

• Be a statistical modeler and support the pharmacometrics functions in the department.
• Build standard statistical models to conduct standard exposure-response (ER) analysis and drug-drug interaction (DDI) analysis in clinical studies.
• Develop and apply state-of-the-art statistical and machine learning methods to identify the associations between exposures and responses.
• Interpret ER results to guide dose-finding decisions.

Required Experience, Skills, and Education:

• Ph.D. or equivalent in Statistics, Biostatistics, Mathematics or related field.
• Internship or work experience in biotechnology or pharmaceutical industry to include:
• Track record of applying statistical methods to real-world datasets, including implementing advanced statistical methods;
• Presenting complex concepts and results to both specialist and non-specialist audiences in biotech or pharmaceutical setting;
• Knowledge and hands-on experience in hierarchical models and Bayesian inference, with application to real-world data;
• Demonstrated experience in statistical modeling, including generalized linear models (GLMs), survival models, and mixed-effects models;
• Proficiency in R and/or SAS programming.
• This position allows for a hybrid work arrangement. The employee must reside in the San Francisco Bay area and may work remotely two (2) days per week.
• Successful completion of background and employment history verification required.

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

Please note that base pay salary range 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 [e-mail].

Base Pay Salary Range

$132,000 - $199,000 USD