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Job Summary:
Johnson & Johnson Innovative Medicine is a leader in healthcare innovation, focused on developing smarter and less invasive treatments. They are seeking a Translational Post Doctoral Researcher to integrate multi-modal neuroscience data with agentic AI for neurodegeneration research, aiming to create evaluation frameworks for AI systems in drug discovery.
Responsibilities:
• Characterize and integrate biomedical data modalities — digital pathology (whole slide images), neuroimaging (PET, structural and functional MRI), omics (genomics, transcriptomics, proteomics, metabolomics), and longitudinal clinical data to develop specialized, domain-specific models for neurodegeneration
• Build and refine data engineering pipelines that harmonize heterogeneous modalities — reconciling differences in spatial resolution, temporal scale, and dimensionality — into unified analytical frameworks
• Identify where cross-modal integration produces genuine insight versus where it introduces noise or artifact, establishing ground truth for downstream AI evaluation
• Critically assess AI-driven literature synthesis and automated “third reviewer” capabilities for detecting methodological weaknesses, logical gaps, and unsupported claims across data modalities
• Establish standards for how agentic systems incorporate overlooked or contradictory evidence such as negative findings, failed clinical trials, etc. and evaluate whether these integrations generate genuinely novel hypotheses
• Design evaluation frameworks for agentic AI systems operating across neuroscience data modalities — assessing whether models can reason credibly across imaging, omics, and clinical evidence
• Develop benchmarks using synthetic and real-world multi-modal datasets that probe AI co-scientist capabilities under realistic research conditions, testing for robustness, reproducibility, and alignment with expert-level biomedical reasoning
• Serve as a neurodegeneration domain expert within the AI/ML team, ensuring that model outputs remain anchored to clinically relevant disease questions
• Translate evaluation findings into actionable guidance for AI system development, bridging computational and experimental perspectives
• Publish evaluation methodologies and findings in leading journals and conferences (e.g., AD/PD, AAIC, NeurIPS)
• Articulate emerging AI/ML approaches — causal reasoning, intent classification, agentic planning — to diverse audiences with clear framing of practical applications in drug discovery
• Co-author manuscripts, concept papers, and translational strategy documents
Qualifications:
Required:
• PhD (or MD/PhD) in neuroscience, neurobiology, computational neuroscience, biomedical informatics, or a closely related field. (Degree must have been completed within the last 3 years, or will be completed in the next 6 months.)
• Deep knowledge of neurodegenerative disease biology (Alzheimer’s, Parkinson’s, etc.) including disease mechanisms, experimental models, and translational challenges
• Hands-on experience working with at least two of the following data modalities in a research context: neuroimaging (PET, MRI), digital pathology, omics, longitudinal clinical data
• Familiarity with large language model architectures and agentic AI frameworks (e.g., LangGraph, DSPy, or equivalent orchestration tools)
• Proficiency in Python and common ML/data engineering frameworks
• Excellent scientific communication skills and comfort working across computational, translational, and experimental teams
• Self-directed, with the ability to work both independently and within a diverse, multi-disciplinary team
Preferred:
• Experience building data pipelines that integrate heterogeneous biomedical data types
• Familiarity with evaluation or benchmarking methodologies for AI/ML systems
• Experience with NLP techniques: named entity recognition, natural language inference, knowledge graph construction
• Knowledge of graph data structures, graph analytics, and graph platforms (Neo4j, Neptune)
• Familiarity with cloud infrastructure (AWS and/or Azure) for scalable pipelines
Company:
Johnson and Johnson Innovative Medicine focuses on developing medical solutions for some of the challenging diseases and medical conditions. Founded in , the company is headquartered in Raritan, USA, with a team of 10001+ employees. The company is currently Late Stage.