Associate Principal Statistical Analyst

Revolution Medicines•Redwood City, CA

1d•Onsite

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.

Requirements

10-14 years of Statistical Programming experience in biotechnology or pharmaceutical industry.
BS/BA degree or other suitable qualification with relevance to the field.
Direct statistical programming experience for early or late-phase clinical trials to support production/verification of analysis datasets, tables, listings, and figures.
Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals as a member of an interdisciplinary team is extremely important.

Nice To Haves

Early or late-stage oncology clinical trials.
A demonstrable record of strong leadership and teamwork.
Thrives in a collaborative team setting and is driven by a desire to deploy innovative approaches and technologies in a high energy environment.

Responsibilities

Provide technical oversight of statistical programming resources including contractors and CROs.
Provide mentorship to future leaders to help learn and execute on RevMed core values.
Ensure quality and timely delivery of analysis for statistical programming deliverables.
Provide solutions by analyzing issues and problems in complex situations.
Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via QC of documents with clinical data.
Ensure that the statistical programming process conforms to the SOPs and regulatory standards where applicable.
Timeline and vendor management for deliverables, including submission-related activities, complying with regulatory standards (e.g., FDA 21 CFR Part 11, GxP).
Programming support for deliverables, such as Dose Committee meetings, Investigator Brochures, publications/presentations, US, and ex-US regulatory submissions.
Proficiency in regulatory standards and compliance regulations including CDISC compliance (SDTM, ADaM, define.xml, Reviewer’s Guides, etc.).