Postdoctoral Position in Genetics and Genomics

Albert Einstein College of Medicine
Genetics
United StatesNew YorkNew York
zdzlab.einsteinmed.edu/

Description

A multidisciplinary group of researchers that aims to understand the biological mechanisms of healthy aging in model organisms and human cohorts enriched for longevity is seeking postdoctoral fellows to join their team in the Department of Genetics and the Institute for Aging Research at Einstein, a leading institution in human aging research. Einstein is home to the Nathan Shock Center of Excellence in the Basic Biology of Aging and the Paul F. Glenn Center for the Biology of Human Aging. We offer a stimulating, supportive, and collaborative environment for candidates with an interest in the biology of aging and multiomics. The candidate will have access to genomic, proteomic, metabolomic, and clinical datasets, as well as samples from Einstein’s familial longevity studies. Recent NIH-funded projects include comparative genomes of longevity and discovery of resilience mechanisms to Alzheimer’s disease. Drs. Zhengdong Zhang, Nir Barzilai, and Jan Vijg are looking for innovative, motivated candidates, 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 biology and aging of humans and model organisms. T32 funding is available and transition to a faculty position is possible. The group has a strong track record of mentoring early career scientists in obtaining career development awards and transitioning to research independence. Additional information about the Department and the Institute can be found at www.einsteinmed.edu/departments/genetics/ and einsteinmed.edu/centers/aging/, respectively.


Qualifications

Candidates should have a Ph.D. or equivalent degree in computational biology, statistical genetics, epidemiology or related experience. 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.


Start date

As soon as possible

How to Apply

Please send a CV and cover letter to Prof. Zhengdong Zhang at zhengdong.zhang@einsteinmed.edu.