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Multi-OMICS Analyses of Alzheimer’s Disease

National Institute on Aging, Baltimore, MD

Position Description:

The Unit of Clinical and Translational Neuroscience in the Intramural Program of the National Institute on Aging (NIA) is seeking applicants for a post-doctoral research fellowship. Our current work has a major emphasis on understanding the metabolic basis of Alzheimer’s disease (AD) pathogenesis using quantitative metabolomics of brain and blood tissue samples. We employ several computational methodologies (i.e. biostatistical, epidemiologic, computer science) on large longitudinal clinical, neuroimaging, cognitive, and metabolomics/proteomics datasets.

We are also exploring in-silico approaches to drug repurposing in AD combining analyses of Electronic Health Record (EHR) data with large publicly available gene expression datasets.

Qualifications:

We are seeking to recruit a talented post-doctoral fellow with expertise in analyses of longitudinal data/machine-learning methods who can contribute to a growing portfolio of high-impact publications from our group. Candidates with strong writing skills will be preferred.

We offer 1) the opportunity to publish extensively in high-impact journals in the medical science fields and 2) collaboration and support in analytic and neuroscience fields within the lab and across the NIA.  Salary is commensurate with other fellowship opportunities, and the position is renewable up to 5 years.

The link below provides details on our work:

http://www.irp.nia.nih.gov/branches/lpc/ctnu.htm

To Apply:

Please contact the Lab Chief, Madhav Thambisetty MD, Ph.D at thambisettym@mail.nih.gov and 443-852-7607 (cell).

In your letter, please include:

  1. A full CV with a statement of research interests and career goals.
  2. Contact details of three references who can comment on your analytical expertise and writing skills

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