Associate Director, R&D Data Integration

Revolution Medicines • Redwood City, CA

1d • $186,000 - $233,000 • Hybrid

About The Position

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: We are seeking an experienced Associate Director of R&D Data Integration to design, implement, and scale integration solutions that enhance research productivity and data integrity across R&D informatics landscape. This role will be pivotal in enabling scientists and data managers to focus on innovation by streamlining repetitive workflows, integrating research platforms, and building robust, automated data pipelines. The ideal candidate brings a blend of technical expertise, leadership skills, and domain knowledge in life sciences R&D informatics, with a strong track record of delivering integration initiatives in modern and complex R&D environments. In this role you some key responsibilities are:

Requirements

• Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Computational Biology, or related discipline.
• 7+ years of experience in research informatics, automation engineering, or related field, with at least 3 years in a leadership role.
• Strong programming/scripting skills (e.g., Python, R, JavaScript, SQL).
• Hands-on experience with workflow automation platforms (e.g., Airflow, KNIME, UiPath, Nextflow, or similar).
• Deep understanding of R&D informatics systems (ELN, LIMS, sample tracking, assay data management).
• Demonstrated success in leading integration initiatives that improved efficiency and scientific throughput.

Nice To Haves

• Experience with Benchling & Cenevo Mosaic and Genedata Screener.
• Experience in biotech or pharmaceutical research informatics environments.
• Familiarity with cloud platforms (AWS, Azure) and modern DevOps practices.
• Knowledge of data standards (e.g., FAIR principles, Allotrope, HL7, CDISC).
• Exposure to AI/ML-driven integration approaches.

Responsibilities

• Define and drive the integration roadmap in alignment with research informatics and broader R&D objectives.
• Evaluate emerging technologies and tools (e.g., middleware, workflow orchestration, data integration platforms, AI/ML-assisted data integration).
• Partner with scientific stakeholders to identify high-impact opportunities for integration and centralization.
• Design, develop, and implement automated workflows for data capture, processing, and analysis across research systems (e.g., ELNs, LIMS, sample management, high-throughput screening platforms).
• Lead the integration of disparate research informatics tools, ensuring seamless data flow between laboratory instruments, databases, and analytical platforms.
• Act as a bridge between research scientists, IT, and informatics teams to translate scientific needs into automated integration solutions.
• Ensure all integration solutions comply with regulatory, security, and data integrity requirements.
• Develop documentation, training materials, and user guides to support adoption and maintainability.
• Monitor, troubleshoot, and optimize integration workflows to ensure reliability and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Director