Postdoctoral Scholar, Neuroscience Precision Measures (Multimodal Neuroimaging for Clinical & P

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Career Programs

Post Doc - Drug Discovery & Pre-Clinical/Clinical Development

Career Program

San Diego, California, United States of America

Johnson & Johnson, is recruiting for a Postdoctoral Scholar, Neuroscience Precision Measures (Multimodal Neuroimaging for Clinical & Pathological Profiling) to be based in San Diego, CA.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Our Neuroscience team tackles the world’s toughest brain health challenges including multiple sclerosis, Alzheimer’s disease, Parkinson’s disease, myasthenia gravis, epilepsy, major depressive disorder, bipolar disorder, schizophrenia, and autism. This patient-focused team helps address some of the most complex diseases of our time.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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We are seeking a highly motivated Postdoctoral Scholar to advance Neuroscience Precision Measures through multimodal neuroimaging and integrative biomarker modeling in neurodegenerative disease. The successful candidate will leverage multimodal MRI to support clinical/cognitive diagnosis and progression modeling, identify imaging correlates of underlying pathology, and develop predictive models that combine fluid biomarkers, PET, and MRI to improve performance and interpretability in translational contexts.

The successful candidate will worked in a matrixed environment and gain familiarity with biomarker deployment considerations in clinical development settings.

• Develop and apply multimodal MRI measures to support clinical and cognitive diagnosis, disease staging, and longitudinal progression modeling.
• Identify and quantify imaging correlates of pathology present in neurodegenerative diseases
• Build multivariate models that integrate MRI + PET + fluid biomarkers to improve predictive performance, robustness, and biological interpretability.
• Implement hands‑on, scalable pipelines for data onboarding, quality control, processing, and feature engineering across large datasets.
• Operate effectively in a matrixed environment, partnering with cross‑functional scientists to learn about and contribute to the development and deployment of biomarkers in clinical trials.
• Communicate results clearly through internal and external presentations and publications.

• PhD in Biomedical Science, Neuroscience, Biomedical Engineering, Data Science, or related field.
• Strong record of imaging‑related publications and scientific writing.
• Expertise in at least one MRI modality (e.g., structural MRI, diffusion, fMRI, quantitative MRI).
• Demonstrated ability to process data at scale (pipeline development; reproducible workflows).
• Expertise in multivariate modeling (e.g., regularized regression, latent variable models, ensemble learning) and/or deep learning applied to neuroimaging/biomarkers.

• Experience with PET quantification and/or EEG analysis.
• Experience integrating multimodal measures (imaging + biofluid + clinical/cognitive) and validating models on independent datasets.

Johnson…