Assistant Professor, Protein Design and Engineering, Dept of Biochemistry

The Department of Biochemistry at Albert Einstein College of Medicine and the Albert Einstein Cancer Center invite applicants for a tenure-track faculty position at the rank of Assistant Professor in the broadly defined area of protein design and engineering. We seek creative applicants with demonstrated excellence in research at the interface of Protein Chemistry, Structure-Function Analysis, Combinatorial Selection Technologies and/or Computational Design, who apply their expertise to important problems in basic and translational sciences, including the development of novel catalysts and biologics with enhanced functionality, stability and biochemical and physical properties. We offer an exciting and collaborative academic work environment that includes diverse faculty with research interests spanning chemical biology, mechanistic enzymology, cancer biology, structural biology, pharmacology, cell biology, biochemistry, along with strong ties to clinical departments at Montefiore Medical Center.

Successful candidates should have a Ph.D., M.D., or M.D., Ph.D. in Biochemistry, Structural Biology, Materials Science, Computational Macromolecular Design, or related academic disciplines. Applicants should send a cover letter, curriculum vitae, names of three references, and a concise summary of research contributions and a well-articulated research plan (3-5 pages), as a single document, to Chemsearch@einsteinmed.org. Applicants should also arrange to have three letters of reference sent directly to this email address with Protein Design in the subject line. Letters of recommendation are not required for initial review but may be requested soon after. Review of applications will begin on November 1, 2021 and continue until the position is filled.

Einstein-Montefiore 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.

Apply Here: https://www.click2apply.net/b74zVgIGBLMkHerbuemgn

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