Senior Statistical Analyst

Revolution Medicines • Redwood City, CA

5d • Hybrid

About The Position

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: This position will be responsible for leading at least one study independently, which includes statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards, and requirements, and be required to work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need. This position has potential to grow into a management role based on proven time management, leadership, and organizational skills. Title may vary based on candidate experience. In this position, Senior Statistical Analyst expected to: Review and understand study specific documents such as Statistical Analysis Plans or analysis definition documents, study protocols, CRFs, analysis specification documents, etc. Learn/Support programming, verification, and maintenance of SAS programs for generating analysis datasets, tables, listings, and figures (TLFs) in accordance with clinical study requirements, while adhering to functional SOPs and guidelines. Learn and assist in the implementation of CDISC data standards (SDTM and ADaM) under the guidance of experienced programmers. Collaborate with internal team members to ensure data integrity, accuracy, and timely delivery of programming outputs. Participate in quality control and verification activities for analysis datasets and study deliverables. Contribute to programming documentation, specifications, and version control following internal standards. Engage in continuous learning to develop technical and domain expertise in oncology clinical trials and regulatory data standards.

Requirements

• MS, BS/BA degree or other suitable qualification with relevance to the field.
• 1-4 years of programming experience.
• Clinical Trials knowledge and SAS Programming background is required.
• Strong analytical, problem-solving, and organizational skills with attention to detail.
• 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.
• Excellent written and verbal communication skills.
• Demonstrated ability to multi-task, prioritize options, anticipate challenges, and execute goals is extremely important.
• Enthusiasm to learn, collaborate, and contribute within a high-performing biotech team.

Nice To Haves

• Oncology experience is preferred.
• Familiarity with CDISC SDTM/ADaM standards or clinical data workflows is a plus.
• Experience with managing vendors is a plus.

Responsibilities

• Review and understand study specific documents such as Statistical Analysis Plans or analysis definition documents, study protocols, CRFs, analysis specification documents, etc.
• Learn/Support programming, verification, and maintenance of SAS programs for generating analysis datasets, tables, listings, and figures (TLFs) in accordance with clinical study requirements, while adhering to functional SOPs and guidelines.
• Learn and assist in the implementation of CDISC data standards (SDTM and ADaM) under the guidance of experienced programmers.
• Collaborate with internal team members to ensure data integrity, accuracy, and timely delivery of programming outputs.
• Participate in quality control and verification activities for analysis datasets and study deliverables.
• Contribute to programming documentation, specifications, and version control following internal standards.
• Engage in continuous learning to develop technical and domain expertise in oncology clinical trials and regulatory data standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees