Postdoctoral Research Fellow in Computational Genetics

Bronx, New York
Albert Einstein College of Medicine
Job Description
A multidisciplinary group of researchers that aims to understand the biological mechanisms of healthy aging in human cohorts enriched for longevity is seeking postdoctoral fellows to join their team at Einstein’s Institute for Aging Research, a leading institution in human aging research, headed by Nir Barzilai, M.D. 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 multi-omics. 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 discovery of resilience mechanisms to Alzheimer’s disease and biological regulation of pathways implicated in longevity. Drs. Nir Barzilai, Sofiya Milman, and Zhengdong Zhang 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 human biology and aging. 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 Institute can be found at

The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. Job Requirements
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 for this role would be as soon as possible. Qualified applicants should submit a CV and cover letter to Dr. Sofiya Milman through email by clicking on the Apply button below.