Senior Scientist, Clinical Agentic AI (Barcelona)

Senior Scientist, Clinical Agentic AI (Barcelona)

08 oct
|
AstraZeneca
|
Barcelona

08 oct

AstraZeneca

Barcelona

This is an in-office role based in Barcelona, ES, with a requirement to work a minimum of three days per week on-site. Remote or travel flexibility is not available.

Are you ready to build agentic AI that reshapes how clinical trials are designed, run, and learned from—ultimately helping patients receive effective medicines sooner? In this role, you will transform high-value clinical workflows with systems that reason over documents and data, use enterprise tools, and expose their evidence so clinicians can trust and adopt them.

You will join a hands-on clinical AI group at the heart of our end-to-end Enterprise AI engine, working closely with clinical and R&D; partners to move fast from prototype to production. You will write and test code, run disciplined experiments, and turn insights from direct user feedback into robust capabilities used across multiple studies and therapy areas. How would you apply your LLM engineering and experimentation skills to high-stakes, real-world decisions?

Accountabilities
• Agentic AI Development: Design and deliver LLM-driven,



agentic workflows for trial planning, conduct, monitoring, review, and reporting that improve speed, quality, and evidence transparency.
• Production-Grade Engineering: Write production-quality Python and SQL; build services, data pipelines, retrieval systems, tool integrations, structured-output components, and automated tests to meet reliability, latency, and cost targets.
• Evidence and Safety by Design: Integrate structured and unstructured clinical sources with clear provenance, access controls, and data contracts; implement verification, citations, uncertainty handling, and human-in-the-loop review so systems fail safely.
• Experimentation and Evaluation: Build reproducible experiments and evaluation datasets; select meaningful metrics; perform error analysis; compare models, retrieval strategies, and orchestration patterns; translate findings into concrete model, prompt, tool, data, or workflow impro

📌 Senior Scientist, Clinical Agentic AI (Barcelona)
🏢 AstraZeneca
📍 Barcelona

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