Senior Scientist – Generative AI for Content Authoring

This job is with Johnson & Johnson, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function Data Analytics & Computational Sciences Job Category Scientific / Technology Job Description Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Senior Scientist - Generative AI for Content Authoring. This position has a primary location of Madrid or Barcelona (Spain) and is a hybrid role. Role Summary As a Senior Scientist in the Content Authoring team within Data Science and Digital Health (DSDH) AI / ML, you will help shape the future of generative AI for content authoring, scientific reasoning, and R&D knowledge intelligence. You will work with large language models (LLMs), evaluation metrics, and multi-agent frameworks that integrate regulatory documents, structured and unstructured datasets, and clinical development / submission documents. The successful candidate's work will accelerate how regulatory dossiers are authored, support clinical and CMC responses, and work with intelligent scientific agents who are capable to write, review, edit, refine documents based on guidelines and user input. Key Responsibilities Design and develop intelligent agent systems for regulatory and scientific content authoring, including writing, reviewing, editing, and refining documents based on guidelines and user input. Advance agent memory architectures and persistent knowledge retention to enable long-horizon reasoning and chain-of-thought grounding. Prototype and implement controls for hallucination, uncertainty quantification, and safe output generation. Build evaluation and benchmarking frameworks for GenAI-driven content authoring, including automated evaluation suites for prompts, models, and retrieval flows. Collaborate with regulatory writers, scientists, engineers, and IT teams to translate emerging AI methodologies into practical, production-ready solutions. Serve as an internal domain expert for GenAI Content Authoring specific agents' systems, driving innovation and protocols across R&D. If required, contribute to interpretation and generation of figures and plots, demonstrating multimodal AI experience. Required Qualifications Master's degree in AI / ML, Computer Science, Engineering, Bioinformatics, or related field with 4+ years of hands-on experience in GenAI engineering. Hands‑on experience with multi‑agent frameworks such as LangGraph, DSPy, memO, or similar architectures. Strong proficiency in Python and modern deep‑learning frameworks (PyTorch, TensorFlow). Experience building retrieval‑augmented generation (RAG) systems, including chunking, embeddings, vector databases, and reranking. Knowledge of advanced mathematical concepts such as uncertainty quantification, probabilistic modelling, or information theory. Experience implementing structured generation, schema enforcement, and model / tool orchestration for complex workflows. Positive, motivated, collaborative approach with the ability to work independently and within a multidisciplinary environment. Preferred Qualifications Understanding of the drug development pipeline, regulatory submissions, and biological or chemical data types. Familiarity with scientific literature analysis, knowledge extraction, and structured content generation. Experience in QC systems, verification agents, or regulatory document automation. Experience fine‑tuning LLMs for specialised domains and deploying AI systems in cloud environments (AWS or Azure). Strong understanding of statistical validation methods for AI‑driven workflows. Experience with Git‑based development and CI / CD pipelines. Our Values Integrity, innovation, collaboration, and responsibility are at the heart of everything we do. We foster an inclusive environment where diverse perspectives drive breakthrough solutions. Equal Opportunity Johnson & Johnson is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against based on disability. #J-18808-Ljbffr