Alzheimer’s Disease Research: Biomarkers, Neuroimaging, and Cognition (Human Research)

We are seeking a postdoctoral fellow to join the Multimodal Imaging of Neurodegenerative Disease (MIND) Unit within the National Institute on Aging’s (NIA’s) Laboratory of Behavioral Neuroscience. This is a full-time primary research fellowship for a postdoctoral scholar interested in pursuing a career in Alzheimer’s disease and cognitive aging research. Postdoctoral fellows will be mentored by Dr. Keenan Walker and will be expected to develop original research projects focused on understanding the pathophysiology of Alzheimer’s disease/dementia and identifying Alzheimer’s disease biomarkers in blood.

Fellows will have the opportunity to use neuroimaging, cognitive, clinical, proteomic, metabolomic, and genetic data from multiple large cohort studies, including the Baltimore Longitudinal Study of Aging (BLSA), Women’s Health Initiative Memory Study (WHIMS), and the Atherosclerosis Risk in Communities (ARIC) Study, to generate impactful research relevant to neurodegenerative disease and brain aging. Fellows will also have the opportunity to collaborate with NIH and non-NIH investigators and participate in ongoing research initiatives within the Laboratory of Behavioral Neuroscience. Fellows will be able to participate in aspects of neuroimaging and cognitive data collection and are expected to conduct analyses and disseminate research findings via peer-reviewed manuscripts and scientific presentation(s) at national and international conferences.

Training: Research training includes active participation in weekly multidisciplinary lab meetings, clinical and neuropathological case conferences, Clinical Neuroscience Grand Rounds, and professional development and research methods courses offered through the NIH Office of Intramural Training and Education (OITE). Fellows are also encouraged to take advantage of the neurology/neuroscience seminars and research methods courses offered Foundation for Advanced Education in the Sciences (FAES).

The successful candidate must have a PhD, MD, or equivalent doctoral degree, and interest and experience with cognitive, neuroimaging, epidemiology, or omics (genetics/proteomics) research. Candidates must be on track to complete doctoral degree requirements before the start of the fellowship. Experience with R, SAS, STATA, or other statistical computing software is required.

Compensation: Salary is consistent with NIH guidelines and benefits include health, dental and vision insurances, paid time-off, and conference time.

Please email a (i) CV, (ii) letter of interest detailing research interest, experience, and career goals, and (iii) three letters of recommendation to

by email at 

. Applications will be accepted until the position is filled.

Application Deadline Date: March 31, 2022 or until filled.

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