Revolution Medicines
Associate Director, R&D Data Integration
Revolution Medicines, San Francisco, California, United States, 94199
Overview
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 the 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. Reporting into the VP of R&D Information Operations, 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. 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. Required Skills, Experience and Education
Bachelors or Masters degree in Computer Science, Bioinformatics, Computational Biology, or related discipline. 11+ 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. Preferred Skills
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. Compensation and General Information
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 privacy@revmed.com. Base Pay Salary Range $180,000 — $225,000 USD Location: Redwood City, CA
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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 the 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. Reporting into the VP of R&D Information Operations, 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. 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. Required Skills, Experience and Education
Bachelors or Masters degree in Computer Science, Bioinformatics, Computational Biology, or related discipline. 11+ 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. Preferred Skills
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. Compensation and General Information
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 privacy@revmed.com. Base Pay Salary Range $180,000 — $225,000 USD Location: Redwood City, CA
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