INTERNSHIP DETAILS

Intern Biostatistics

CompanyRevolution Medicines
LocationRedwood City
Work ModeOn Site
PostedFebruary 26, 2026
Internship Information
Core Responsibilities
The Biostatistics summer intern will work under experienced Biostatisticians on theoretical or applied problems directly relevant to ongoing clinical drug development research in Oncology. The intern is expected to implement methodological developments using SAS/R, conduct simulation studies, present research findings, and prepare a final written report.
Internship Type
full time
Salary Range
$67,000 - $81,000
Company Size
2
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Revolution Medicine enables physicians to integrate personalized medicine into their practices in order to more effectively treat patients. Our genes play an important role in determining how we respond to about 75% of prescription drugs. Scientific research has demonstrated which genes predict these responses. According to the American Medical Association (AMA), 98% of physicians agree that knowing a patient’s genetic profile would help in prescribing medications. Yet, 90% of physicians do not feel they are adequately informed about how to apply genetic testing to treatment decisions. Our mission is to improve the quality of patient care by helping doctors determine optimal treatment strategies and more accurately predict treatment responses. Revolution Medicine has developed ScriptMatch, an analytical process that enables physicians to easily incorporate genetic testing into their practices. Our company solves a major issue in the clinical market and addresses an emerging trend in patient-driven healthcare: having clinical results that become part of the medical record and applicable to future treatments.
About the Role

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

The Opportunity:

The Biostatistics summer intern will work for 8-12 weeks under the supervision of experienced Biostatisticians on theoretical or applied problems with direct relevance to on-going clinical drug development research in Oncology. During the internship, the student is expected to implement methodological developments using SAS/R and conduct simulation studies as needed. At the end of the internship, the student is expected to give a department-wide presentation on their research topic and prepare a final written report.

Required Skills, Experience and Education:

  • Must have strong programming skills in SAS or R.

  • Must have a solid background on survival analysis.

  • Demonstrated problem-solving ability and strong oral and written communication skills.

  • Enrollment in a full-time graduate program and have completed at least two full years of graduate course work prior to the start of the internship.

Preferred Skills:

  • Familiarity with advanced statistical methods, including casual inference, Bayesian statistics, covariate-adjusted modeling.

  • Experiencee with simulation-based methods and predictive modeling to support the clinical development decision. 

    #LI-Hybrid  #LI-AP1

The base pay salary range for this intern 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 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 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.

Base Pay Salary Range
$67,000$81,000 USD

We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
 
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
 
If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to careers@revmed.com so we can share these impersonations with our IT team for tracking and awareness.


 

Key Skills
SasRSurvival AnalysisProgrammingProblem-SolvingCommunicationCausal InferenceBayesian StatisticsCovariate-Adjusted ModelingSimulation-Based MethodsPredictive Modeling
Categories
Science & ResearchHealthcareData & Analytics