Career Development
Position Description: Research Associate
The Translational Imaging Laboratory at Wayne State University Pediatrics (WSU-Ped) is seeking a highly qualified research associate in the area of pediatric neuroimaging. The successful candidate will be responsible for providing design and data analysis support for pediatric neuroimaging research projects. This position will be supported by NIH funding and is intended to provide analytical and research design support to the expanding clinical neuroscience research programs at WSU-Ped. The WSU-Ped pediatric neuroscience research program is well-regarded for its innovative use of advanced imaging modalities such as MRI, PET, and intracranial EEG to investigate neurological, neurosurgical, and psychiatric conditions, as well as the normal functioning of the nervous system.
The successful candidate will act as a conduit between clinical and basic researchers and the neuroimaging capabilities of WSU-Ped to improve these research programs. This position will collaborate with teams to address their research questions, support a wide range of programmatic neuroscience research directions, and offer opportunities for academic growth that could eventually lead to an independent investigator track position.
Requirements:
Education: MS (PhD preferred) in biomedical engineering, data science, or neuroscience.
Experience: A history of publication in the applications of pediatric brain imaging to questions related to neuroscience, neurology or psychiatry is necessary. Expertise in research design and data analysis is essential. Proficiency in coding skills in Matlab and Python is required. It is a must to have skills and ability to quickly prototype in Python. The ideal candidate should have strong hands-on experience with deep learning and machine learning tools. Additionally, they should possess strong hands-on experience in medical imaging.
Responsibilities:
Conducting cutting-edge research in the field of pediatric neuroimaging, specifically focusing on advanced structural MRI-intracranial EEG data analysis, fast MRI data analysis, and clinical diffusion tractography applications utilizing deep learning network techniques.
Supervising and mentoring graduate students who are studying pediatric imaging methods and machine learning techniques.
Publishing research findings and presenting scientific results on the progress and outcomes of current and upcoming research projects. These projects include investigations into pediatric neurodevelopmental disorders such as drug-resistant epilepsy, Sturge-Weber syndrome, and late language emergence, among others.
Develop independent research projects and write research grant applications under the guidance and supervision of other faculty members.
Contact jjeong@med.wayne.edu to get more information on your participation of our projects.