Statistical Analyst

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.

This position will be responsible for independent programming and verification of Clinical Trial Data to produce high quality deliverables to consistently meet study timelines, quality standards and requirements. This person will be required to work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need.

• Provide support in the development, verification, and maintenance of SAS programs used for in-house/vendor generated SDTMs, analysis datasets (ADaM or ADaM‑like), tables, listings, and figures (TLFs) in compliance with CDISC standards (SDTM and ADaM).

• Perform data consistency checks for analysis to ensure quality, consistency, and accuracy of derived datasets and outputs.
• Generate ADaM or ADaM‑like programming specifications based on Analysis definitions or Statistical Analysis Plan.
• Manage and lead study-specific deliverables per instructions and guidance from study lead.
• Collaborate closely with Study Lead and other programmers, to help support accurate and timely delivery of programming deliverables such as Investigator Brochures, publications, CSR, US and ex‑US regulatory submissions.
• Participate in study-level programming activities, including submission‑related programming support as needed (e.g., define.xml, reviewer’s guides, Pinnacle 21 report review).
• Contribute to programming process improvements and standardization initiatives within the Statistical Programming function.

• MS, BS/BA degree or other suitable qualification with relevance to the field.
• At least 4‑8 years of statistical programming experience with proven proficiency with SAS (Base SAS, SAS/STAT, SAS Macro, SAS/GRAPH). Working knowledge of CDISC SDTM and ADaM standards.
• Strong problem‑solving, analytical, and written and verbal communication skills.
• Ability to work effectively both independently and in a cross‑functional team environment.
• Thrives in a collaborative team setting and is driven by a desire to deploy and/or adopt innovative approaches and technologies in a high energy environment.
• Demonstrated ability to multi‑task, prioritize options, anticipate challenges, and execute on is extremely important.

• Experience in clinical trial data programming is essential, prior exposure to oncology studies.
• Experience with submission programming (e.g., eCTD, define.xml, Reviewer’s guide) is a plus. #LI-Hybrid #LI-DN1