Senior Scientist – Generative AI for Workflow, Applications and Plug-ins

En Johnson & Johnson creemos que la salud lo es todo. Nuestra fuerza en la innovación en la atención médica nos permite construir un mundo en el que se eviten, traten y curen enfermedades complejas, en el que los tratamientos sean más inteligentes y menos invasivos, y las soluciones sean personales. A través de nuestra experiencia en Medicina Innovadora y MedTech, estamos en una posición única para innovar en todo el espectro de soluciones de atención médica de hoy para ofrecer los avances del futuro y afectar profundamente a la salud para la humanidad. Obtenga más información en jnj.com Guiados por nuestro Credo, en Johnson & Johnson somos responsables de nuestros empleados que trabajan con nosotros en todo el mundo. Proporcionamos un entorno laboral inclusivo donde cada persona es tratada como individuo. En Johnson & Johnson, respetamos la diversidad y la dignidad de nuestros empleados y reconocemos sus méritos. Función de trabajo: Data Analytics & Computational Sciences Subfunción de trabajo: Data Science Categoría de trabajo: Scientific/Technology Todas las ubicaciones de colocación de trabajo: Madrid, Spain Descripción del trabajo: 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/ . Johnson & Johnson Innovative Medicine (J&J IM) is recruiting for a Senior Scientist – Generative AI for Workflow, Applications and Plug-ins development Team. This position has a primary location of Madrid or Barcelona (Spain) . This is a hybrid role. Role Summary 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. Key Responsibilities - 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. Required Qualifications - 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. Habilidades requeridas: Habilidades deseables: Análisis avanzado, Análisis de datos, Calidad de los datos, Ciencia de datos, Consultoría, Credibilidad técnica, Estándares de privacidad de datos, Experto en datos, Fluidez digital, Modelos econométricos, Pensamiento crítico, Pensamiento estratégico, Planificación táctica, Presentación de informes de datos, Tutoría, Visualización de datos El intervalo de salario base anual previsto para esta posición es: €55.400,00 - €87.860,00 Beneficios: Además del salario base, ofrecemos los siguientes beneficios*: Una bonus variable anual con un objetivo o target preestablecido (% del salario fijo) en función del pay grade/ubicación, donde el importe a percibir se basa en el desempeño que hayan tenido durante el año natural anterior tanto los empleados como las empresas, o comisiones de ventas. Además, ofrecemos días de vacaciones, permiso parental por un mínimo de 12 semanas, permiso por duelo, permiso para cuidadores, permiso de voluntariado, reembolso de bienestar, programas de salud financiera, física y mental. Además, ofrecemos premios por aniversario de servicio y reconocimiento, y con sujeción a los términos de sus respectivos planes, los empleados, y los dependientes elegibles de algunas ubicaciones, pueden participar en varios planes de seguro. Para obtener más información, visite Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers. *Lo anterior se facilita con fines exclusivamente informativos. Los importes y los beneficios reales pueden variar según la ubicación y están sujetos a cambios.