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Search for University Jobs in Engineering

Job ID: 268281

Biological Engineering and Data Science, Machine Learning and AI, Tenure-Track
Massachusetts Institute of Technology


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Date Posted Nov. 13, 2025
Title Biological Engineering and Data Science, Machine Learning and AI, Tenure-Track
University Massachusetts Institute of Technology
Cambridge, MA, United States
Department Biological Engineering and Institute for Data, Systems, and Society
Application Deadline Dec. 15, 2025
Position Start Date Jul. 1, 2026
Download PDFRefer a Friend of ColleagueView Similar University JobsView University Jobs in Massachusetts  MASSACHUSETTS
 
 
  • https://school-of-engineering-faculty-se...
  • Assistant Professor
  • Biomedical Engineering & Bioengineering
    Computer Science
 
 

The Department of Biological Engineering (BE) and the Institute for Data, Systems, and Society (IDSS) at the Massachusetts Institute of Technology (Cambridge, Massachusetts) seek applicants for a tenure-track position at the Assistant Professor level, effective July 1, 2026, or some other mutually agreeable date thereafter. Rank will be determined based on qualifications and experience.

We welcome outstanding applicants developing novel methods in statistics, data science, machine learning, and artificial intelligence to enable discovery and innovation in biological engineering. We are especially interested in work that engages molecular and cellular systems in areas including medicine, agriculture, chemicals, materials, and novel applications of engineering biology.

The successful candidate will be a faculty member at the Department of Biological Engineering and a Core Member at IDSS. Successful applicants are expected to share our commitment to undergraduate and graduate education by teaching courses in Biological Engineering and related subjects at the undergraduate and graduate levels, advising students, conducting original scholarly research and developing course materials at the graduate and undergraduate levels.

Candidates are expected to have had formal graduate training and research focus in statistics, data science, machine learning or artificial intelligence (as evidenced by thesis/dissertation topic and their publication record), and hold a PhD (or equivalent terminal degree) in the field of biological engineering, biology, statistics, computer science, mathematical sciences, biophysics, chemical engineering or a related field by the start of employment.

The pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $140,000 - $150,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. This pay-range represents base pay only and does not include any other benefits or compensation.

Complete applications should be received by 15 December 2025. Applications should include a cover letter, curriculum vitae that includes the applicant's publication list, research statement (including expected impact), teaching statement, as well as the names and titles of three reference letter writers.

Applications must be submitted in pdf format at https://school-of-engineering-faculty-search.mit.edu/idss-be/register.tcl . It is the responsibility of the candidate to arrange for the three reference letters to be uploaded at https://faculty-searches.mit.edu/letters/ by December 15, 2025. Applications will be considered complete only when both the applicant materials and three letters of recommendations are received.

Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.


  • MIT is an equal employment opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All qualified applicants will receive equitable consideration for employment based on their experience and qualifications and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

    See MIT's full policy on nondiscrimination ( https://policies.mit.edu/policies-procedures/90-relations-and-responsibilities-within-mit-community/92-nondiscrimination). Know your rights https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf


 
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