Assistant Professor, Biological Engineering and Data Science, Machine Learning and AI

The Department of Biological Engineering (BE) and the Institute for
Data, Systems, and Society (IDSS) at the Massachusetts Institute of
Technology in Cambridge, Massachusetts seek applicants for
tenure-track faculty positions, effective July 1, 2027, or on a
mutually agreeable date thereafter. Appointment will be at the
assistant professor level. In special cases, however, an untenured
associate or senior faculty appointment may be possible,
commensurate with 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 candidates developing
agentic systems for biological discovery, including those that
integrate with physical AI.

The successful candidate will be a faculty member in the Department
of Biological Engineering and a Core Member in 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 doctorate degree (PhD or
equivalent) 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): $143,000 -
$147,000. 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. 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

Complete applications should be received by December 15, 2026.
Applications should include a cover letter, curriculum vitae, the
applicant's publication list, research statement (including
expected impact), teaching statement, as well as the names and
contact information for 3 references. It is the responsibility of
the candidate to arrange for the three reference letters to be
uploaded at

https://faculty-searches.mit.edu/letters/index.tcl
by the application deadline.

Application materials should be submitted through the School of
Engineering Faculty Search website https://faculty-searches.mit.edu/idss-be/register.tcl

Completed application review will begin after December 15, 2026.
Contact Kim Strampel at: idss-apply@mit.edu with questions.