Postdoctoral Scientist - Multimodal AI

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: Career Programs Subfunción de trabajo: Post Doc – Data Analytics & Computational Sciences Categoría de trabajo: Career Program Todas las ubicaciones de colocación de trabajo: Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America Descripción del trabajo: Johnson & Johnson Innovative Medicine Research & Development, Data, Data Science & AI organization, is recruiting a Postdoctoral Scientist in Multimodal AI for Biomedical Discovery to advance AI/ML-enabled drug discovery. Our multidisciplinary organization develops innovative solutions using diverse biomedical data across disease areas. We are seeking a highly motivated Postdoctoral Scientist to work at the intersection of machine learning, computational biology, multimodal foundation models, and scientific AI. The successful candidate will develop next-generation AI systems that integrate imaging, transcriptomics, proteomics, molecular structures, scientific literature, and other biomedical data to generate actionable insights for target discovery, translational biology, disease mechanisms, and drug development. The ideal candidate will combine strong AI/ML expertise with a solid understanding of biological systems and a commitment to advancing AI-enabled scientific discovery. Key Responsibilities: - Develop and evaluate multimodal AI/ML methods, including foundation models, predictive models, and generative approaches, for diverse biological data such as high-content imaging, transcriptomics, proteomics, molecular structures, preclinical and clinical assays, scientific literature, and knowledge bases. - Design computational approaches that generate biologically meaningful hypotheses, inform experimental design, identify mechanisms of disease, and support target or compound prioritization. - Partner with biologists, chemists, computational biologists, biostatisticians, AI/ML scientists, and data scientists to translate scientific questions into scalable AI solutions. - Develop workflows that integrate heterogeneous evidence sources and support rigorous, transparent scientific decision-making. - Contribute to reusable AI platforms, software tools, and data foundations that enable enterprise-scale biomedical AI applications. - Develop robust benchmarking strategies, establish strong baselines, and evaluate model generalizability, interpretability, and biological relevance. - Lead end-to-end research activities, including study design, hands-on coding, model development and evaluation, technical documentation, progress reporting, and communication of findings. - Document and disseminate research findings internally and externally, including through publications in leading AI, computational biology, and bioinformatics venues. Qualifications Education: - Ph.D. in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Applied Mathematics, Statistics, Electrical Engineering, or a related quantitative field. Experience and Skills: - Strong expertise in machine learning, deep learning, foundation modeling, or related areas - Demonstrated experience developing and evaluating machine learning methods for scientific or biomedical applications. - Hands-on experience with Python and modern AI/ML frameworks and tools, such as PyTorch, JAX, Hugging Face, Git-based version control, Docker, Kubernetes, or equivalent technologies. - Working knowledge of molecular and cellular biology, genetics, disease biology, or drug discovery, with the ability to connect computational findings to biological interpretation and experimental context. - Experience analyzing at least one biomedical modality, such as transcriptomics, proteomics, single-cell omics, high-content imaging, tissue imaging, spatial biology, or other high-dimensional biological data. - Ability to work effectively in multidisciplinary teams and communicate complex analytical findings to both technical and scientific stakeholders. - Strong scientific communication skills, with the ability to present complex methods and findings clearly to technical and scientific audiences. Preferred Skills: - Experience developing multimodal learning systems that integrate two or more biological data modalities. - Experience with multimodal foundation models, self-supervised learning, contrastive learning, or generative modeling. - Experience designing AI agents, multi-agent systems, or agentic workflows that support scientific reasoning, hypothesis generation, or experimental planning. - Familiarity with retrieval-augmented generation, scientific copilots, or autonomous research systems that compile evidence from biomedical literature, databases, knowledge graphs, and experimental data. - Experience supporting pharmaceutical R&D activities such as target identification, mechanism of action understanding, biomarker discovery, translational research, compound characterization, or precision medicine. - Experience developing reproducible research software or contributing to shared AI/ML platforms. Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or disability. Habilidades requeridas: Habilidades deseables: El intervalo de salario base anual previsto para esta posición es: €60,000.00 - €96,255.00 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.