Analysis Senior Scientist

hace 4 días


Cornellà de Llobregat, España Johnson & Johnson Innovative Medicine A tiempo completo

Senior Scientist – Generative AI for Content Authoring Join to apply for the Senior Scientist – Generative AI for Content Authoring role at Johnson & Johnson Innovative Medicine Join to apply for the Senior Scientist – Generative AI for Content Authoring role at Johnson & Johnson Innovative Medicine 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. Data Analytics & Computational Sciences Data Science Research and development areas encompass oncology, cardiovascular and retina disorders, immunology, and neuroscience. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market, from patients to practitioners and from clinics to hospitals. Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Senior Scientist – Generative AI for Content Authoring. This is a hybrid role. 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. 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. 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. Master's degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 4+ years of hands-on experience in GenAI engineering. 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. 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 specialized domains and deploying AI systems in cloud environments (AWS or Azure). 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. Full-time Research, Analyst, and Information Technology


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