Job description

The Department of Genetics and the Institute for Aging Research at Einstein, a renowned institution in human aging research, are seeking postdoctoral fellows to join their multidisciplinary team. The team's primary focus is to gain insights into the biological mechanisms underlying healthy aging in both model organisms and human cohorts with a high prevalence of longevity.

Einstein is home to prestigious research centers such as the Nathan Shock Center of Excellence in the Basic Biology of Aging and the Paul F. Glenn Center for the Biology of Human Aging. These centers provide an exceptional research environment for individuals interested in studying the biology of aging and multiomics. The selected candidates will have access to a wide range of valuable resources, including genomic, proteomic, metabolomic, and clinical datasets, as well as samples from Einstein's familial longevity studies.

Ongoing NIH-funded projects within the group include investigations into comparative genomes of longevity and the discovery of resilience mechanisms related to Alzheimer's disease. The team, led by Drs. Zhengdong Zhang, Nir Barzilai, and Jan Vijg, is seeking innovative and motivated candidates who can work independently while also collaborating closely with clinical, basic, and computational researchers.

Applicants should possess a strong interest in applying computational tools to address key questions in biology and aging, both in humans and model organisms. The position offers T32 funding, and there is potential for transitioning to a faculty position. The group has a successful track record of mentoring early career scientists, helping them secure career development awards and achieve research independence.

To learn more about the Department of Genetics, please visit https://www.einsteinmed.edu/departments/genetics/ . For additional information about the Institute for Aging Research, please visit https://einsteinmed.edu/centers/aging/.

This is an excellent opportunity to join a dynamic and collaborative team at the forefront of aging research. Interested candidates are encouraged to apply and contribute to the advancement of knowledge in the field of healthy aging.

- Qualifications  Applicants for the postdoctoral positions should hold a Ph.D. or equivalent degree in computational biology, statistical genetics, epidemiology, or a related field. Proficiency in a programming language such as R, Matlab, or Python is a requirement, along with a solid understanding of computational genetics. Familiarity with machine learning techniques is highly desirable. The ideal candidates should have experience in analyzing large datasets, as this will be a significant aspect of the research. The ability to handle and interpret complex data sets will be advantageous in this role. Overall, the successful candidates will possess a strong background in computational biology or related disciplines, programming skills, and a solid foundation in computational genetics. The ability to work with large datasets and knowledge of machine learning techniques will be valuable assets for these positions. - Salary and benefits $60,000 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 zhengdong.zhang@einsteinmed.edu . 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.

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