Intern, Biostatistics

Revolution MedicinesRedwood City, CA
$67,000 - $81,000Hybrid

About The Position

Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. 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: 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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Implement methodological developments using SAS/R
  • Conduct simulation studies as needed
  • Give a department-wide presentation on their research topic
  • Prepare a final written report
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