Senior Director, Research Informatics - REVOLUTION Medicines

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:

Revolution Medicines is seeking an experienced and strategic Senior Director of Research Informatics to lead a team supporting highly data-intensive research programs. This is a critical leadership role responsible for the evolution and operation of our cloud-based and on-premises infrastructure, scientific data pipelines, and custom informatics software tools. You will partner closely with discovery scientists, data scientists, and external vendors to translate complex research needs into scalable informatics solutions that accelerate drug discovery.

Revolution Medicines’ research engine generates large, diverse, complex datasets that demand innovative and robust informatics capabilities. In this role, you will join a passionate, collaborative team driving the data infrastructure, tools, and insights that enable discovery scientists to make faster, more informed decisions. You will lead and grow a team focused on advancing how scientific data is collected, managed, analyzed, and visualized across the organization.

We are looking for someone who will:

• Lead the Research Informatics team overseeing software engineering and informatics professionals.

• Define and implement the strategy for RevMed’s research data infrastructure, including SaaS platforms, cloud/on-prem computing, data capture and transformation, visualization and software tools.

• Collaborate with research stakeholders to gather informatics requirements, translate them into technical plans, and deliver impactful solutions across Research.

• Oversee implementation, optimization, and support of scientific software (e.g., Benchling, Genedata Screener, Cenevo Mosaic, Certara D360, Revvity Signals or CDD).

• Drive internal software and data engineering efforts, including development of APIs, web-based apps, and automation of research workflows.

• Ensure robust data governance and compliance with internal standards and best practices.

• Manage external partnerships and vendors supporting outsourced software or data projects.

• Develop and maintain project plans, track milestones and deliverables, and provide regular updates to leadership and collaborators.

Required Skills, Experience and Education:

• BS/MS/Ph.D. in Computer Science, Software Engineering, Research Informatics, Bioinformatics, Cheminformatics, or a related field.

• Strong understanding of early discovery research needs; Design–Make–Test–Analyze (DMTA) cycles, small molecule drug discovery, and Structure Activity Relationships (SAR).

• Significant experience in scientific informatics or data engineering within biotech or pharmaceutical R&D, with a minimum of 16+ years of relevant experience with a Bachelor’s degree, 14+ years of relevant experience with a Master’s degree or 12+ years of relevant experience with a Doctoral degree.

• Experience deploying and managing on-prem/cloud hybrid informatics solutions in AWS or Azure.

• Strong understanding of data model design, scientific data integration and data visualization best practices.

• Strong understanding of relational databases and data lakehouse platforms such as Databricks.

• Hands-on experience with scientific data types (e.g., cell-based, biophysical and biochemical assays, multiomics, in vivo studies, imaging, cheminformatics).

• Track record of managing external partners or professional service providers on software or informatics projects.

• Experience in cloud-based HPC to support drug discovery.

Preferred Skills:

• Direct experience with life science platform software development kits e.g., Benchling SDK.

• Experience with AI-Optimized Cloud HPC

• Proficiency in programming languages such as Python & R.

• Experience with managed integrated development environments such as Posit & Knime Hub. 

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