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: Dashboard and Data Review Support: Developing and maintaining dashboards and reports that support clinical trial data review, performance metrics, and operational insights across Biostatistics, Clinical Data Science, Clinical Systems, Medical Science, and Statistical Programming. Programming and Automation: Develop and maintain scripts using SAS and R to support data cleaning, transformation, and reporting. Create utility tools to automate repetitive tasks and improve data processing efficiency. Software Validation: evaluate and implement GxP-compliant clinical systems (including programming environment and data platforms). Collect requirements, interpret specifications, and work with IT to prepare IQ, OQ, PQ, and UAT test cases. System Management and Maintenance: Support controlled clinical analysis systems, ensuring system availability, performance, and compliance. Maintain documentation for folder access control, system patches, and change management. Training and User Support: Prepare and deliver onboarding materials and training sessions for clinical systems and data tools. Enhance user engagement by providing clear, accessible documentation and ongoing support. Cross-Functional Collaboration: Work closely with Biostatistics, Clinical Data Science, Clinical Operations, and IT to understand data review needs, provide solutions to accelerate data cleaning, and improve data quality across clinical systems. Project Coordination: Assist in tracking project timelines, deliverables, and dependencies. Support meeting organization, documentation, and follow-up across multiple priorities.