Open-Rank Tenured/Tenure-Track Position in Biochemistry and Molecular Biology

  • Amherst, MA


: $92,550.00 - $150,240.00 /year *

Employment Type

: Full-Time


: Education - Post Secondary

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About UMass Amherst

UMass Amherst, the Commonwealth's flagship campus, is a nationally ranked public research university offering a full range of undergraduate, graduate and professional degrees. The University sits on nearly 1,450-acres in the scenic Pioneer Valley of Western Massachusetts, and offers a rich cultural environment in a bucolic setting close to major urban centers. In addition, the University is part of the Five Colleges (including Amherst College, Hampshire College, Mount Holyoke College, and Smith College), which adds to the intellectual energy of the region.

Job Description:

The Department of Biochemistry & Molecular Biology at the University of Massachusetts Amherst invites applications for a tenure-track position at any rank. The successful candidate will also be a part of the Institute for Applied Life Sciences (IALS), which has a primary goal of developing translational research programs, fostering interactions with industry, and training of an applied life sciences workforce.


We seek to identify innovative candidates who are exploring questions focused on the synthesis, folding, degradation and trafficking of proteins, collectively referred to as protein homeostasis, in the context of one or more specific diseases. We are particularly interested in candidates who use approaches and have research interests that augment our existing strengths in protein homeostasis at the Department and University level ( The proposed research program could be relevant to any area of human health related aspects of protein homeostasis. Examples include, but are not limited to, disease models, clinical treatments, therapeutic candidate development or other strategies. New faculty members will be able to take full advantage of the IALS substantial investments in campus infrastructure and core facilities (see for more details). The successful candidates will have a Ph.D., postdoctoral experience, and outstanding potential to build a vibrant, active research program and to teach at both the undergraduate and graduate level.

Application Instructions:

Review of applications will begin on January 1, 2019 and will continue until the position is filled. Online applications should include a cover letter, CV, research plan, teaching statement, and the contact information for three references. In addition, all applicants should submit a Statement of Contributions to Diversity, Equity and Inclusion, identifying past experiences and future goals, as part of the application package. The diversity statement for the College of Natural Sciences at the University of Massachusetts Amherst can be found at

Any questions can be directed to

UMass Amherst is committed to a policy of equal opportunity without regard to race, color, religion, gender, gender identity or expression, age, sexual orientation, national origin, ancestry, disability, military status, or genetic information in employment, admission to and participation in academic programs, activities, and services, and the selection of vendors who provide services or products to the University. To fulfill that policy, UMass Amherst is further committed to a program of affirmative action to eliminate or mitigate artificial barriers and to increase opportunities for the recruitment and advancement of qualified minorities, women, persons with disabilities, and covered veterans. It is the policy of the UMass Amherst to comply with the applicable federal and state statutes, rules, and regulations concerning equal opportunity and affirmative action.

Advertised: Nov 23 2018 Eastern Standard Time

Applications close:

Associated topics: agriculture, astronomy, germ, hydrosphere, life science, mathematica, mathematical, neuron, physical science, theoretical chemistry

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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