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Job FunctionJob Sub FunctionJob CategoryAll Job Posting Locations:

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, unsupported claims, weak traceability — and turn findings into actionable recommendations.
- Develop therapeutic‑area‑specific evaluation criteria with scientific, clinical, and regulatory partners, refining them based on real‑world feedback.
- Design evaluation methods for scientific reasoning, evidence synthesis, and hypothesis quality — where generic benchmarks fall short.
- Build evaluation tooling and reusable patterns that enable other teams to self‑serve.

QualificationsEducation:

Master's degree in AI/ML, Computer Science, Data Science, Computational Biology, Bioinformatics, Biomedical Engineering, Applied Mathematics, Biostatistics, or a related field required. PhD preferred.

RequiredEXPERIENCE AND SKILLS:

We are looking for someone with 6+ years of hands‑on experience in AI/ML evaluation or data science (Master's) or 3+ years of industry experience (PhD). You should have experience designing and running evaluation frameworks, scientific benchmarks, or quality assessments for AI/ML systems, and hands‑on work with generative AI — large language models, retrieval‑augmented generation, agentic frameworks, and prompt engineering. We also value strong proficiency in Python and modern AI/ML tooling (evaluation harnesses, embedding models, vector databases, LLM APIs), the ability to translate expert scientific judgment into measurable criteria, rubrics, and reproducible protocols, and a collaborative, self‑driven approach to working across multidisciplinary teams. xqbhyrx

PreferredOther

English proficiency is required (written and verbal). This is a hybrid role based in Madrid or Barcelona, with limited travel (

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