Postdoctoral Fellow

The Department of Genetics and the Institute for Aging Research at Albert Einstein College of Medicine invite applications for postdoctoral fellows to join a highly collaborative, multidisciplinary research program focused on the biology of healthy aging. The overarching goal of the group is to uncover biological mechanisms that promote longevity and resilience to age-related diseases, using both model organisms and deeply phenotyped human cohorts enriched for exceptional longevity.

Einstein is internationally recognized for leadership in aging research and hosts major centers. These programs provide an outstanding intellectual and technical environment for postdoctoral training in aging biology and multi-omics research. Fellows will have access to extensive genomic, proteomic, metabolomic, and clinical datasets, as well as unique biospecimens from Einstein’s long-standing familial longevity studies.

The research group is supported by multiple NIH-funded projects, including studies of comparative genomics of longevity and investigations into mechanisms of resilience to Alzheimer’s disease. The team is led by Drs. Zhengdong Zhang, Nir Barzilai, and Jan Vijg, and offers a rich collaborative environment that integrates computational, experimental, and clinical expertise.

We seek highly motivated and creative postdoctoral fellows who can work independently while engaging in close collaboration across disciplines. The group has a strong track record of mentoring postdoctoral fellows toward independent careers, including successful applications for career development awards. The position offers opportunities for career development and to join a vibrant research community at the forefront of aging and longevity research.

Additional information about the Department of Genetics is available at

Information about the Institute for Aging Research can be found at

Qualifications

Applicants should hold a Ph.D. or equivalent degree in computational biology, statistical genetics, epidemiology, bioinformatics, or a closely related discipline. Strong programming skills in R, Python, MATLAB, or similar languages are required, along with a solid foundation in computational or statistical genetics.

Experience analyzing large-scale datasets is essential, as the work will involve complex genomic and multi-omics data. Familiarity with machine learning methods and modern data science approaches is highly desirable.

Successful candidates will demonstrate strong quantitative skills, the ability to work with complex biological data, and a clear interest in applying computational approaches to fundamental questions in aging biology and human health.

Salary and benefits

$65,000 or more depending on experience, with a comprehensive package of institutional benefits.

Start date

As soon as possible.

How to apply

Please send a CV and cover letter to Dr. Zhengdong Zhang at [email protected].

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.

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