Postdoctoral Scholar, Neuroscience Precision Measures (multimodal Neuroimaging for Clinical & Pathological Profiling)

Johnson & Johnson Johnson & Johnson · Pharma · San Diego, CA +1

Seeking a Postdoctoral Scholar to advance Neuroscience Precision Measures using multimodal neuroimaging and integrative biomarker modeling for neurodegenerative disease. The role involves developing and applying MRI measures, identifying imaging correlates of pathology, building multivariate models integrating MRI, PET, and fluid biomarkers, and implementing data processing pipelines. The candidate will work in a matrixed environment and contribute to biomarker deployment in clinical trials.

What you'd actually do

  1. Develop and apply multimodal MRI measures to support clinical and cognitive diagnosis, disease staging, and longitudinal progression modeling.
  2. Identify and quantify imaging correlates of pathology present in neurodegenerative diseases
  3. Build multivariate models that integrate MRI + PET + fluid biomarkers to improve predictive performance, robustness, and biological interpretability.
  4. Implement hands-on, scalable pipelines for data onboarding, quality control, processing, and feature engineering across large datasets.
  5. 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.

Skills

Required

  • 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.

Nice to have

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

What the JD emphasized

  • 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.

Other signals

  • multimodal neuroimaging
  • integrative biomarker modeling
  • predictive models