Scientist - Generative AI for Workflow

As a Senior Scientist in the Workflow, Applications and Plug-ins team within Data, Data Science and AI Org, you will lead the technical and product evolution of reusable GenAI-enabled content-authoring workflows across R&D, spanning therapeutic-area document generation, regulatory authoring, scientific content workflows and future integration with broader dossier and submission processes. The role will help establish a reusable document-authoring capability on an internally built Agentic Platform rather than creating isolated solutions for individual document types., + Lead technical strategy and implementation of GenAI-enabled document-authoring workflows.

• Translate individual document workflows into reusable authoring capabilities and identify document-specific versus enterprise-common logic.
• Develop roadmap and requirements across multiple document classes and R&D functions.
• Establish patterns for evidence retrieval, grounding, drafting, citation, structured content, review and revision.
• Partner with Data teams to define source-data requirements and enterprise data connectivity.
• Partner with Evaluation & Quality to establish content-quality, faithfulness, traceability and regulatory-readiness evaluation.
• Integrate reusable QC/content-review capabilities into authoring workflows.
• Evaluate where external vendor capabilities can be consumed as modular services rather than forcing end-to-end vendor architectures.
• Work with Foundation Platform Team to identify reusable plugin and platform requirements generated from document-authoring use cases.
• Provide technical leadership to engineers, contractors, domain SMEs and federated Data Science partners.
• Drive workflows from prototype toward scalable enterprise capability.

• Master’s degree in AI/ML, Computer Science, Engineering, Bioinformatics, or related field with 2+ years of hands-on experience in GenAI Science/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. 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. Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility

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 jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit., Johnson & Johnson Innovative Medicine (J&J IM) develops treatments that improve the health and well-being of people worldwide. Research and development areas encompass oncology, cardiovascular and retina disorders, immunology, and neuroscience. Our goal is to help people live longer and healthier lives. 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. To learn more about J&J IM, please visit https://www.jnj.com/., BIP UK | BIP US Madrid, Madrid Volver a la última búsqueda Trabajos ) Trabajos en informática ) Senior Scientist - Generative AI for Workflow, Applications and Plug-ins ( volver a la última búsqueda Recibir ofertas similares por correo electrónico No gracias, llévame a la oferta de empleo Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies. Inscribirse en esta oferta

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