Senior Statistical Analyst

Key Skills

Effective communication skills, Google sheets, Presentation skills, SAP, SAS, Statistics, Teamwork

Job Description

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 scientists 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.

Specifically, you will be responsible for:

• Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis Files, Tables, listings, Figures, and any other form of Clinical Trial in addition to writing analysis file specifications and other relevant documentation of deliverables and analysis methods.
• Ensure effective planning to meet quality and timely delivery of deliverables.
• Comply with project/study programming standards and specifications following internal guidelines.
• Ensure accuracy of clinical trial results for internal and external audiences (e.g., regulatory authorities, academic community, and healthcare providers) via biometrics QC of documents with clinical data.
• Programming support for relevant deliverables, such as Investigator Brochures, publications, US and ex-US regulatory submissions, including CDISC compliant datasets (SDTM, ADaM) and data documentation, Reviewer’s Guide, TLFs, Statistical Analysis Plans (study specific, ISS, ISE, Exposure-Response).
• Hands-on programming of in-house deliverables including but not limited to Dose Committee meetings, Board of Director meetings, Exploratory Analysis, etc.
• Verification Review of Statistical Analysis Plans (SAP), documents, spreadsheets, slides for in-house presentations and external publications.

Specific required experience, skills, and education:

• MS, BS/BA degree or other suitable qualification with relevance to the field.
• Oncology experience is preferred, experience with managing vendors is a plus.
• At least 6-8 years of statistical programming experience with clinical trial data using SAS software.
• A fast learner with a demonstrable record of teamwork.
• 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 as a member of an interdisciplinary team is extremely important.
• Industry experience is essential.

The expected salary range for this role is $115,000 to $138,000. An individual’s position within the range may be influenced by multiple factors, including skills and experience in role, overall performance, individual impact and contributions, tenure, and market dynamics. Base 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.

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