Associate Principal Statistical Analyst

Revolution Medicines; San Francisco (CA); On-site; USD 164,000 - 205,000; Full time

Job summary

Revolution Medicines in San Francisco, CA seeks a Senior Statistical Programmer to lead programming activities for oncology programs and oversee contractors/CROs. You will ensure CDISC compliance and support regulatory submissions.

The role emphasizes mentorship, timely analysis delivery, and adherence to SOPs and GxP, with a focus on enabling high-quality trial results for FDA and other authorities.

Qualifications

• 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.

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 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.).

Skills

Statistical programming

Leadership

CDISC SDTM/ADaM

Regulatory submissions

Mentoring

Vendor management

GxP compliance

Problem solving

Education

BS/BA degree or relevant field

Job description

Overview

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.

The Opportunity

Position requires about 10-14 years of Statistical Programming experience with exploratory-stage oncology clinical trials, providing programming support and oversight of one or more clinical programs (early or late phase) within the Statistical Programming function. In addition to direct programming and technical oversight of one or more studies, this position may require assistance providing technical support and guidance during regulatory submissions while ensuring conformance to CDISC standards and submission guidelines. Titles may vary based on candidate experience. Based on company needs, this position may be required to lead an early Phase or late phase study or program. Specific responsibilities include:

• 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.).

Required Skills, Experience and Education

• 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.

Preferred Skills

• 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.

Base Pay Salary Range

$164,000 - $205,000 USD

Equal Opportunity Employer

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.