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Senior 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 professionals 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, Statistical Programmer is expected to:

  • 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.

Required Skills, Experience and Education:

  • BS/BA, MS degree or other suitable qualification with relevance to the field.

  • At least 8-10 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 preferred.

Preferred Skills:

  • Oncology experience is preferred.

  • Experience with managing vendors is a plus.

The base salary range for this full-time position is $138,000 to $172,000 for candidates working onsite at our headquarters in Redwood City, CA. The range displayed on each job posting is intended to be the salary for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our salary ranges are determined by role, level, and location. Individual pay is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that 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.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com

#LI-Hybrid   #LI-JC1

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$138000K
$172000K

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What You Should Know About Senior Statistical Analyst, Revolution Medicines

Are you ready to take your statistical programming skills to the next level? Revolution Medicines, a pioneering clinical-stage precision oncology company located in Redwood City, California, is seeking a Senior Statistical Analyst to join our talented team. In this role, you'll lead critical studies in the development of innovative therapies targeting RAS-addicted cancers. You’ll work closely with a dynamic group of professionals, ensuring the quality and accuracy of clinical trial data while maintaining study timelines in a fast-paced environment. Your primary responsibilities will include the production and verification of SAS scripts for analysis files, tables, and figures, as well as developing comprehensive documentation for deliverables. Collaboration is key, as you’ll be communicating with statisticians and various functional teams to ensure we meet our deliverables and compliance standards. This position not only offers the opportunity to contribute significantly to exciting projects but also has the pathway to grow into a management role based on your demonstrated leadership and organizational skills. If you have a passion for cancer research and a strong background in statistical programming within a clinical setting, we invite you to explore this opportunity at Revolution Medicines, where your contributions will make a real difference in the lives of patients.

Frequently Asked Questions (FAQs) for Senior Statistical Analyst Role at Revolution Medicines
What are the responsibilities of a Senior Statistical Analyst at Revolution Medicines?

As a Senior Statistical Analyst at Revolution Medicines, your main responsibilities include leading clinical trials independently, producing and verifying SAS scripts and outputs, and ensuring the quality of deliverables in a timely manner. You will collaborate with statisticians and other team members to produce high-quality analysis files, tables, and figures, as well as documentation for key deliverables. Additionally, you will be expected to participate in programming support for regulatory submissions and maintain compliance with project programming standards.

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What qualifications do I need to become a Senior Statistical Analyst at Revolution Medicines?

To qualify for the Senior Statistical Analyst position at Revolution Medicines, you should hold a BS/BA or MS degree related to the field, along with at least 8-10 years of statistical programming experience using SAS software for clinical trial data. In addition, strong communication skills, the ability to thrive in a team setting, and a demonstrated record of multi-tasking and problem-solving are essential. Oncology experience is preferred, and familiarity with vendor management is a plus.

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What is the work environment like for a Senior Statistical Analyst at Revolution Medicines?

The work environment for a Senior Statistical Analyst at Revolution Medicines is collaborative and energetic. You will be working alongside a group of dedicated professionals who are committed to advancing oncology treatments. The role requires effective communication and teamwork in a fast-paced setting, emphasizing a commitment to quality and innovation in data analysis. The company values adaptability and encourages the adoption of new approaches and technologies, making it a stimulating place to grow your career.

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What are the growth opportunities for a Senior Statistical Analyst at Revolution Medicines?

At Revolution Medicines, there are significant growth opportunities for a Senior Statistical Analyst. The role offers the potential to evolve into a managerial position based on your performance and organizational skills. As you establish your career within the company, you may lead more complex projects and initiatives, expanding your influence and responsibilities in the organization. Continuous learning and development are actively encouraged, allowing you to further enhance your skills and advance in your career.

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What is the salary range for a Senior Statistical Analyst at Revolution Medicines?

The base salary range for a Senior Statistical Analyst at Revolution Medicines is between $138,000 to $172,000, depending on your experience and qualifications. This salary is designed for candidates working onsite at our Redwood City headquarters. Additionally, total compensation includes competitive cash compensation, equity awards, and benefits, maximizing the value of your contributions to the company while supporting your professional growth.

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Common Interview Questions for Senior Statistical Analyst
What experience do you have with SAS programming in clinical trials?

Discuss your specific experience with SAS programming related to clinical trials. Highlight particular projects where you worked on production or verification of analysis files, tables, and figures, and how you ensured compliance with statistical programming standards.

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Can you describe a time when you had to meet tight deadlines in a clinical setting?

Provide a specific example that showcases your ability to manage multiple tasks and prioritize effectively under pressure. Discuss the strategies you employed to ensure timely deliverables while maintaining high-quality standards.

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How do you ensure the accuracy of clinical trial data?

Explain your approach to verify data accuracy, such as conducting quality control checks and adhering to project specifications. Mention any relevant tools or procedures you employ to ensure data integrity.

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What challenges have you faced while working in a team, and how did you overcome them?

Reflect on specific challenges you encountered in team dynamics, focusing on your conflict resolution skills and the importance of communication and collaboration in achieving common goals.

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How familiar are you with regulatory submissions and compliance standards?

Detail your knowledge of regulatory requirements for clinical trial data submissions. Describe your experience preparing documentation for agencies and your understanding of relevant guidelines such as CDISC standards.

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What motivates you to work in oncology and statistical programming?

Share your passion for oncology and how you see statistical programming as a crucial component in improving patient outcomes. Discuss specific aspects of oncology research that excite you.

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How do you handle data discrepancies in clinical trials?

Illustrate your process for identifying and resolving data discrepancies. Explain the importance of thorough investigation and collaboration with team members to rectify issues in a timely manner.

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Can you give an example of how you've contributed to a project from start to finish?

Provide a comprehensive overview of a specific project where you were involved from initiation to completion. Highlight your contributions in programming, analysis, and collaboration, emphasizing the impact of your work.

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What programming methodologies do you prefer when working with clinical trial data?

Discuss any programming methodologies you utilize, such as agile or waterfall approaches, and how they help you achieve project goals effectively. Be sure to mention adaptability based on project needs.

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How do you continue to stay current with industry developments in statistical programming?

Explain your commitment to ongoing learning in statistical programming and oncology through resources like relevant professional associations, workshops, online courses, or conferences to stay updated on industry trends and best practices.

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Full-time, on-site
DATE POSTED
April 3, 2025

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