Qualifications
Responsibilities
Benefits
Key Accountabilities / Core Job Responsibilities
Owns the strategy, roadmap, and operational delivery of Research Informatics, including Benchling, Dotmatics, internal software systems, and AI integration.
Leads and grows a team responsible for platform support, configuration, validation, and continuous improvement across Discovery, Development, and Technical Operations.
Partners with scientists and lab operations leads to translate business and scientific requirements into scalable, well-engineered platform solutions.
Serves as subject matter expert on ELN capabilities and experiment data workflows, advising on platform selection and integration strategy.
Communicates platform strategy, status, and risk clearly to senior stakeholders, from group leaders to senior management.
Engages hands-on in configuration and platform build work, alongside strategic oversight.
Drives vendor relationships and manages platform migrations, escalations, and contract performance.
Explores and integrates next-generation, AI-driven experiment capture concepts, including passive documentation architectures that reduce manual interface dependency while preserving compliant, attributable records.
Owns roadmap prioritization and backlog decisions, balancing input from scientific, engineering, and IT stakeholders.
Leads direct report(s) through annual goal setting, growth planning, adherence to company policies, maintains training compliance, and provides ongoing feedback on growth, development, and areas of improvement.
Qualifications/Skills
Typically requires a Bachelor's degree in a technical field (computer science, data science, engineering, or related); advanced degree preferred.
Typically requires 10+ years building and delivering software solutions, including 7+ years in pharma, biotech, or life sciences supporting laboratory informatics or scientific platforms.
Typically requires 8+ years of people management experience, including building and growing engineering teams.
Hands-on expertise with scientific data platforms (e.g., Benchling, Dotmatics) and experience leading ELN/registry migrations preferred.
Experience partnering with enterprise IT on security, licensing, and infrastructure, and familiarity applying AI/ML workflows to biological or chemical data, preferred.
This compensation and benefits information is based on Denali’s good faith estimate as of the date of publication and may be modified in the future.
About Denali Therapeutics
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