Postdoctoral Fellow Position
Department of Health and Human Services
National Institutes of Health
National Institute on Aging
Intramural Research Program
Translational Gerontology Branch
Longitudinal Studies on Aging and Dietary Interventions for Healthy Aging
Postdoctoral Fellow Position
The Experimental Gerontology Section within the Translational Gerontology Branch (TGB) in the NIA-NIH Intramural Research Program is seeking talented and motivated post-doctoral fellows to perform research on multi-dimensional aspects of aging processes, phenotypes, and interventions. Our program is aimed at training researchers across disciplines in the fields of aging and epidemiology, with an emphasis on data science-based methodologies, multi-omics, and bench work that can be applied to understand the longitudinal trajectories of aging in mice and across species. The successful candidate is expected to perform work that is transformative in nature and addresses important outstanding questions in the field, ultimately leading to breakthroughs in research on the underlying mechanisms of aging, interventions to delay aging, and establishing aging-related drivers of health and disease.
Together with a multi-disciplinary team of mentors, the candidate will work on collecting and interpreting data from longitudinal studies on aging to: 1) identify, access, and extract data elements of phenotypic, physiological, pathological, and functional decline relevant for predicting aging-related outcomes, 2) investigate and apply advanced data science methods, including machine learning and spatio-temporal analyses, to develop an index that integrates diverse data sets with individual-level longitudinal health data, and 3 explore genetic, pharmacologic, and nutritional approaches to alter known and newly identified pathways related to aging and longevity.
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
- Nutritional intervention studies
- Redox biology, oxidative stress, and antioxidant response
- Metabolic and neurodegenerative diseases associated with aging
- Pathways related to mitochondrial biogenesis/function
- Management and analysis of data relevant to aging studies and aging epidemiology.
- Conversion of heterogeneous data sets to standard reference frames and terminologies
- Advanced statistical programming (SAS, R, Linux and/or Python)
Candidates should have a Ph.D. and/or M.D. or equivalent degree and experience in animal models, molecular biology, cell biology, biostatistics, or computational biology, with peer-reviewed publications. Successful applicants are expected to demonstrate independence and the ability to learn new approaches and techniques; think creatively about the research; and work within multi-disciplinary groups.
Interested individuals should email their CV, a cover letter summarizing current and future research interests, and contact information for three references to:
Rafael de Cabo, Ph.D.
Chief, Experimental Gerontology Section and Translational Gerontology Branch, NIA, NIH
Compensation: Salary is consistent with NIH guidelines and benefits include health, dental and vision insurances, paid time-off, and conference time.
Translational Gerontology Branch, National Institute on Aging, National Institutes of Health.
Position Location: Baltimore, MD
Application Deadline Date: September 31, 2021, or until filled.
Disclaimers: This position is subject to a background investigation.
DHHS and NIH are Equal Opportunity Employers
The NIH is dedicated to building a diverse community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
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