Senior Manager, Research Informatics

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 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 rigorall in service of patients.

The Opportunity:

We are seeking a Senior Manager Research Informatics to lead the strategy development and evolution of research informatics capabilities that accelerate Discovery this role you will partner closely with scientific teams computational scientists and technology teams to define and deliver scalable digital solutions that transform how scientific data is captured managed analyzed and leveraged across the research organization.

You will lead initiatives to modernize research workflows by driving standardization automation expanding the adoption of enterprise platforms over standalone applications and seamless integration across the research informatics ecosystem. By establishing scalable data frameworks governance and best practices you will enable high-quality traceable and reusable scientific data that supports operational excellence advanced analytics and AI-enabled this role you will be responsible for:

• Develop and execute the research informatics strategy to support scalable efficient high-quality workflows across Discovery Research.

• Partner with scientific computational and technology teams to align research priorities with informatics capabilities and technology roadmaps.

• Lead the design governance and lifecycle management of research data models templates workflows and enterprise platforms including Genedata Screener and Benchling.

• Automate and optimize data capture assay analysis reporting and system integrations to improve efficiency reproducibility and data integrity.

• Establish standards and best practices for data management metadata workflow design system configuration and application lifecycle management.

• Build partnerships with scientists computational teams IT vendors and external collaborators to deliver high-impact informatics solutions.

• Prioritize application enhancements support needs and operational improvements to maintain strong service levels and user satisfaction.

• Drive user adoption through clear communication training change management and stakeholder engagement.

• Assess emerging technologies including AI-enabled platforms and advanced analytics and define implementation strategies that improve scientific productivity.

Required Skills Experience and Education:

• Bachelors degree in a scientific computational or related field; advanced degree preferred.

• 7 9 years of experience leading research informatics scientific applications or laboratory information management initiatives in biotech pharmaceutical or research settings.

• Experience with Assay Management platforms such as Genedata Screener IDBS ActivityBase or Revvity Signals.

• Strong understanding of discovery research workflows scientific data management assay informatics laboratory operations and research data lifecycle management.

• Experience implementing optimizing and governing enterprise scientific platforms and informatics ecosystems.

• Proven ability to translate scientific and business needs into scalable technology solutions and long-term roadmaps.

• Experience leading cross-functional programs with scientists software engineers and external vendors.

• Working knowledge of workflow automation systems integration data standards SQL Python and modern data integration approaches.

• Excellent communication leadership and executive presentation skills with the ability to influence technical and scientific stakeholders.

• Demonstrated people leadership coaching and organizational development experience.

Preferred Skills

• Experience with Genedata Screener Genedata Expressionist Benchling D360 Mosaic or similar scientific informatics platforms.

• Experience supporting high-throughput screening assay development translational research and discovery research teams.

• Knowledge of APIs data pipelines cloud-based research platforms and enterprise integration architectures.

• Experience establishing research data governance FAIR data principles metadata standards and reusable data frameworks.

• Experience developing informatics capabilities that support machine learning AI-enabled workflows or advanced analytics.

• Familiarity with resource planning roadmap planning vendor management software licensing and budgets.

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