Job ID: 6040
Job date: 2018-05-26
End Date: 2018-07-25
Company : Albert Einstein College of Medicine Country : United States Role : Postdoc
Job date: 2018-05-26
End Date: 2018-07-25
Company : Albert Einstein College of Medicine Country : United States Role : Postdoc
Job Description:
Einstein’s Institute for Aging Research, under the leadership of Nir Barzilai, M.D., is seeking a postdoctoral fellow to join a multidisciplinary team of researchers focused on understanding the genetic mechanisms of healthy aging in human cohorts enriched for longevity. We offer a stimulating and collaborative environment for a candidate with a strong interest in gerontology and the biology of aging. Recent NIH-funded projects include discovery of resilience mechanisms to Alzheimer’s disease and genomic regulation of pathways implicated in longevity. We are looking for an innovative, motivated candidate, who can work independently but also collaborate closely with clinical, basic and computational researchers. Applicants will be expected to apply and develop computational tools to model and address questions in human biology and aging. This position is remunerated according to NIH guidelines and comes with a generous package of University benefits. Qualifications: Candidates should have a Ph.D. or equivalent degree in computational biology or statistical genetics. Proficiency in a programming language (e.g. R, Matlab or python) and knowledge of computational genetics are required. Experience with machine learning is desirable. Proficiency with analyzing large data sets is preferred.
Additional Info:
Start date: As soon as possible How to Apply: Please send a CV and cover letter to Nir Barzilai, MD at nir.barzilai@einstein.yu.edu Contact: Prof. Nir Barzilai, M.D. nir.barzilai@einstein.yu.edu[Click Here to Access the Original Job Post]
Einstein’s Institute for Aging Research, under the leadership of Nir Barzilai, M.D., is seeking a postdoctoral fellow to join a multidisciplinary team of researchers focused on understanding the genetic mechanisms of healthy aging in human cohorts enriched for longevity. We offer a stimulating and collaborative environment for a candidate with a strong interest in gerontology and the biology of aging. Recent NIH-funded projects include discovery of resilience mechanisms to Alzheimer’s disease and genomic regulation of pathways implicated in longevity. We are looking for an innovative, motivated candidate, who can work independently but also collaborate closely with clinical, basic and computational researchers. Applicants will be expected to apply and develop computational tools to model and address questions in human biology and aging. This position is remunerated according to NIH guidelines and comes with a generous package of University benefits. Qualifications: Candidates should have a Ph.D. or equivalent degree in computational biology or statistical genetics. Proficiency in a programming language (e.g. R, Matlab or python) and knowledge of computational genetics are required. Experience with machine learning is desirable. Proficiency with analyzing large data sets is preferred.
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Additional Info:
Start date: As soon as possible How to Apply: Please send a CV and cover letter to Nir Barzilai, MD at nir.barzilai@einstein.yu.edu Contact: Prof. Nir Barzilai, M.D. nir.barzilai@einstein.yu.edu[Click Here to Access the Original Job Post]