Postdoctoral Scientist - Multimodal AI

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. Job Function: Career Programs Job Sub Function: Post Doc – Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: Beerse, Antwerp, Belgium, Cambridge, Massachusetts, United States of America, Madrid, Spain, Spring House, Pennsylvania, United States of America Job Description: 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.

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.

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