Translational Post Doctoral Researcher - Agentic AI for Neurodegeneration

Role: Postdoctoral Researcher in Data Analytics & Computational Sciences focused on agentic AI for neurodegeneration, embedded within J&J's Machine Intelligence team. Objectives include developing evaluation frameworks for multi-modal neurodegenerative data (imaging, pathology, omics, clinical records) and advancing agentic AI systems for drug discovery. Responsibilities involve integrating diverse biomedical data modalities, creating pipelines for harmonization, assessing AI synthesis across evidence types, and designing benchmarks for AI reasoning across modalities. The role also entails translating findings into actionable insights, publishing in scientific venues, and collaborating across computational, translational, and experimental teams. Qualifications: PhD (or MD/PhD) in neuroscience, neurobiology, biomedical informatics or related field, completed within last 3 years or soon. Deep knowledge of neurodegeneration (Alzheimer’s, Parkinson’s), hands-on experience with at least two data modalities (imaging, pathology, omics, clinical data), familiarity with large language models and agentic AI frameworks, proficiency in Python, strong communication skills. Preferred skills include building heterogeneous data pipelines, benchmarking AI systems, NLP techniques, graph analytics, and cloud infrastructure experience. High-value biopharma specifics include focus on neurodegenerative diseases, multi-modal data integration, AI evaluation standards, and translational research within a collaborative setting. Location: Raritan NJ, Titusville NJ, Spring House PA, Cambridge MA, or San Diego CA (no remote). No travel specified.