Neuroimaging Research Associate

1 day ago


Los Angeles, California, United States University of Southern California Full time

The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (LONI, INI) are world-renowned leaders in developing cutting-edge computational and scientific approaches for comprehensive brain mapping. LONI's unique multidisciplinary environment and state-of-the-art resources enable the integration of clinical, psychological, and genotypic information with neuroimaging phenotypes to address research questions in neurology, psychiatry, and developmental neurobiology.

The Zhao lab focuses on imaging-omics studies to elucidate quantitative and mechanistic aspects of the brain implicated in development, aging, and pathological conditions. By integrating large-scale biobank data, advanced machine intelligence approaches, and big data discovery techniques, we identify novel multimodal feature combinations and develop models that explain interactions in development, aging, and neuropathology.

We seek a highly motivated Postdoctoral Scholar Research Associate to contribute to our research efforts and reveal neurobiological pathways underlying major neurodevelopmental/neurodegenerative disorders. The successful candidate will participate in ongoing computational studies and pursue innovative research projects. We encourage and support scholars to compete for fellowships funding and grants whenever possible.

This two-year position offers a competitive salary ($62,000 - $70,000) commensurate with experience, following NIH guidelines. The successful candidate will serve as key personnel on Dr. Lu Zhao's research projects, participating in all lab activities to enhance and develop research competencies. They will analyze research data, provide interpretations, and contribute to the development of research documentation for publication or technical reports.

Required Skills and Qualifications
  • A PhD or equivalent doctoral degree (or close to completion) in Neuroscience, Biomedical Engineering, Computational Science, or a related discipline.
  • Expertise in neuroimage analysis, medical imaging, genetics, machine learning, and/or artificial intelligence.
  • Experience in multimodal brain image processing and analysis using software tools such as FreeSurfer, FSL, AFNI, SPM, MRtrix3, or others.
  • Computing and programming skills using Matlab, Python, R, and bash scripting.
  • Excellent communication and writing skills.


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