Postdoctoral Research Scientist Position in Computational Structural Biology

Albert Einstein College of Medicine
Bronx, New York
March 29 2021
Position Type
Full Time
Organization Type

A postdoc position is open for developing and employing computational techniques for designing specificity for protein interfaces in various disease-oriented applications. The research includes various aspects of method development to analyze, predict and design protein interfaces. The position is highly interdisciplinary and provides close collaborations with experimentalists with follow up translational applications.

Albert Einstein College of Medicine is well recognized as one of the nation's premier institutions for medical education, basic research and clinical investigation. As a longstanding national leader in biomedical research, Einstein has more than 300 research laboratories, 3,000 faculty and staff, 750 medical students and 350 PhD students, and offers many exciting career opportunities for individuals who are dedicated to biomedical research.

The ideal candidate holds a PhD degree in relevant fields (e.g. computational biology, chemistry, physics, applied mathematics) and has an extensive computational background in scripting and programming languages, familiar with Linux operating system. Has a strong working knowledge of principles of protein structures, familiar with bioinformatics programs and applications, including some experience with MD simulations.

Applicants, please send your CV and 3 names that could serve as your references by e-mail to

Subject: Postdoc position


contact: Andras Fiser, Ph.D.

-New York City, NY, US.

-Department of Systems and Computational Biology

-Salary starts at $52,704 depending on experience

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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