Senior Scientist, Scientific Workflows & Agentic Cheminformatics

What you'll do

• Design, prototype, and validate agent-enabled workflows for high-value drug discovery questions.
• Translate complex scientific questions into well-defined workflows that make assumptions and expert judgments explicit.
• Evaluate agent behavior and outputs for scientific validity, reproducibility, and relevance to discovery decisions.
• Develop and test agentic prototypes by combining scientific expertise with predictive models and computational tools.
• Take technical ownership of agentic workstreams by setting success measures and making informed trade-offs.
• Integrate agentic capabilities into familiar scientific environments through user training and project partnerships.
• Collaborate with data science and platform engineering teams to contribute scientific requirements for production implementation.
• Translate successful project solutions into reusable capabilities aligned with shared architectures.

What we're looking for

• PhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or a related discipline.
• Strong scientific expertise relevant to drug discovery and compound design.
• Strong Python programming skills and experience developing automated workflows, pipelines, or scientific applications.
• Hands-on experience using AI-assisted development approaches to build reliable scientific software or automated workflows.
• Demonstrated ability to work independently in emerging areas and collaborate across scientific, data science, and technology teams.
• Ability to travel domestically and internationally up to 10% of the time.
• Experience designing and evaluating end-to-end agent-enabled scientific workflows or multi-agent solutions (preferred).
• Familiarity with workflow orchestration, version control, testing, CI/CD, and public/commercial bioactivity and chemogenomics databases (preferred).