À propos de ce poste Clinical Systems Associate chez Revolution Medicines
Revolution Medicines is a global, commercial-state 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:
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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.
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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.
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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.
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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.
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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.
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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.
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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:
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Bachelor’s degree in Computer Science, Health Informatics, Biostatistics, or a related field (or equivalent experience in clinical data and programming).
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4 years of experience with SAS, SQL, and R programming for clinical data analysis, including dataset manipulation and TFL generation and verification.
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Experience with dashboard development and web page design.
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Familiarity with clinical trial data standards (e.g., SDTM, ADaM) and data cleaning processes.
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Understanding software validation processes (IQ, OQ, PQ, UAT) and GxP compliance.
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Strong attention to detail, data integrity, and traceability in a regulated environment.
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Ability to manage multiple projects and communicate technical concepts across diverse teams.
Preferred Skills:
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Direct experience with clinical trial data in a pharmaceutical or biotech setting.
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Experience supporting the development and validation of ADaM datasets and TFLs for regulatory submissions.
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Familiarity with clinical data visualization and reporting tools (e.g., R Shiny, Power BI).
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Exposure to clinical systems such as CTMS, EDC, or statistical computing environments.
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Experience delivering training and documentation to support user adoption of clinical systems and tools.
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Experience with HTML and CSS for web page development.
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Experience with version control systems (e.g., Git) for managing scripts and documentation.
#LI-DN1 #LI-Hybrid
The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.
Please note that base pay salary range 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 [email protected].
We are aware of recent recruitment scams in which individuals or organizations falsely represent themselves as being affiliated with Revolution Medicines. These scams may appear as false job advertisements or unsolicited contacts through communication or chat platforms, email, phone, or text message.
Please note that Revolution Medicines does not extend unsolicited employment offers and will never ask candidates to provide financial information, purchase equipment, or pay fees as part of the hiring process. All legitimate communication from Revolution Medicines will come from an official @revmed.com email address.
If you believe you’ve been contacted by someone impersonating a Revolution Medicines recruiter, please report it to [email protected] so we can share these impersonations with our IT team for tracking and awareness.
