Experteer Overview As a Senior Scientist in our In Silico Discovery group, you design and validate agent-enabled workflows to address high-value discovery questions. You collaborate with chemists, biologists, and data scientists to translate scientific problems into reusable, evidence-based workflows. You will prototype agentic approaches, evaluate their scientific validity, and prepare them for production use with cross-functional partners. This role blends deep cheminformatics expertise with AI-assisted methods to advance discovery capabilities and impact drug discovery at scale.
Compensaciones / Ventajas

Build partnerships with medicinal chemists, ISD/CADD scientists, biologists, DMPK scientists, and data scientists to uncover opportunities in projects
Translate complex scientific questions into defined workflows with explicit evidence and decisions
Design meaningful use cases, reference datasets, and success criteria for rigorous evaluation
Evaluate agent behavior for scientific validity, reproducibility, and relevance to discovery decisions




Capture insights from early applications to guide further development
Develop and test agentic prototypes using data, models, and tools to address scientific objectives
Own agentic prototypes/workstreams, set success measures, and ensure value to discovery needs
Support adoption of agentic capabilities by integrating into familiar scientific environments and training users
Lead the design, prototyping, and validation of agent-enabled workflows and collaborate with data science and platform teams for production implementation
Responsabilidades

PhD or equivalent substantial experience in cheminformatics, computational chemistry, medicinal chemistry, chemical biology, or related discipline
Strong understanding of compound design and predictive models
Strong Python programming skills and experience building automated workflows
Hands-on experience with AI-assisted development for scientific software or workflows
Ability to wo

📌 Senior Scientist, Scientific Workflows (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid