Research Assistant Position: Brain Connectivity Analysis in Health and Neurodegenerative Disease

Research Assistant Position: Brain Connectivity Analysis in Health and Neurodegenerative Disease
Dr. Iman Aganj, Laboratories for Computational Neuroimaging, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School
fall 2024, spring 2025

The primary focus of my lab is on connectomic analysis in aging and neurodegenerative diseases, such as Alzheimer’s and Parkinson’s. Structural brain connectivity is computed from diffusion magnetic resonance (MR) images via fiber tracking. We use both in-house and public MRI databases. Responsibilities: The RA will receive anonymized diffusion MR images and will apply available tools to compute white-matter fiber orientations, fiber tract streamlines, and structural brain connectivity matrices. The RA will then use the connectivity matrices to predict clinical measures such as dementia test scores or the outcome of the deep-brain-stimulation surgery. Requirements and Expectations: Between 8 to 12 hours per week is expected. Some coding experience (Matlab, Python, etc.) is required and familiarity with brain imaging is desired. Additional Information: This voluntary position is unpaid, but the project can be used towards research course credits. The PI (https://iman.mgh.harvard.edu) is a member of the Laboratories for Computational Neuroimaging (https://lcn.martinos.org) of the Martinos Center for Biomedical Imaging (www.martinos.org), located in Charlestown Navy Yard. The position can be fully remote, but occasional in-person meetings are encouraged. To Apply: Please email Dr. Aganj (iaganj@mgh.harvard.edu) with a CV. (posted 12/2024)