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Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain
Job Description
At J&J; we are building Generative AI solutions to support pharmaceutical R&D; — literature review, evidence synthesis, document Q&A;,



therapeutic area knowledge search, translational science workflows, and R&D; decision support. These systems need to be evaluated before teams rely on them in scientific workflows. In pharma, a useful AI response depends on the question, user, source material, therapeutic area, and risk of error — so quality must be measurable, repeatable, traceable, and scientifically defensible.
Key Responsibilities
- Design, build, and maintain automated evaluation pipelines for LLM quality, RAG performance, agent reliability, safety, and scientific accuracy.
- Author evaluation rubrics and scoring criteria, curate golden and synthetic datasets with domain experts, and maintain our registry of reusable evaluation assets.
- Validate AI judges against human expert agreement and run model, prompt, retriever, and agent benchmarks that produce standardized quality readouts.
- Analyze failure patterns — hallucination,

📌 Senior Scientist (Cornellà de Llobregat)
🏢 Johnson & Johnson Innovative Medicine
📍 Cornellà de Llobregat