Clinical Systems Associate

Revolution Medicines•Redwood City, CA

1d•Onsite

About The Position

Revolution Medicines is a global, commercial-stage oncology company dedicated to discovering, developing, and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide. Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency, and hold ourselves to a high standard of rigor—all in service of patients. 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.

Requirements

Bachelor’s degree in Computer Science, Health Informatics, Biostatistics, or a related field (or equivalent experience in clinical data and programming).
4 years of experience with SAS, SQL, and R programming for clinical data analysis, including dataset manipulation and TFL generation and verification.
Experience with dashboard development and web page design.
Familiarity with clinical trial data standards (e.g., SDTM, ADaM) and data cleaning processes.
Understanding software validation processes (IQ, OQ, PQ, UAT) and GxP compliance.
Strong attention to detail, data integrity, and traceability in a regulated environment.
Ability to manage multiple projects and communicate technical concepts across diverse teams.

Nice To Haves

Direct experience with clinical trial data in a pharmaceutical or biotech setting.
Experience supporting the development and validation of ADaM datasets and TFLs for regulatory submissions.
Familiarity with clinical data visualization and reporting tools (e.g., R Shiny, Power BI).
Exposure to clinical systems such as CTMS, EDC, or statistical computing environments.
Experience delivering training and documentation to support user adoption of clinical systems and tools.
Experience with HTML and CSS for web page development.
Experience with version control systems (e.g., Git) for managing scripts and documentation.

Responsibilities

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.
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.
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.
Support controlled clinical analysis systems, ensuring system availability, performance, and compliance.
Maintain documentation for folder access control, system patches, and change management.
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.
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.
Assist in tracking project timelines, deliverables, and dependencies.
Support meeting organization, documentation, and follow-up across multiple priorities.