Clinical Systems Programmer

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.

Required Skills, Experience and Education:

• Bachelor’s degree in Computer Science, Health Informatics, Biostatistics, or a related field (or equivalent experience in clinical data and programming).

• 0 - 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 of 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.

Preferred Skills:

• Hands-on 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. #LI-Hybrid  #LI-DN1