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# Assistant Professor, Biological Engineering and Data Science, Machine Learning and AI Tenure-Track

- **Company:** Massachusetts Institute of Technology
- **Location:** Cambridge, MA, United States
- **Salary:** $143,000.0 - $147,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Machine Learning, Information Technology
- **Published:** October 22, 2026
- **Apply:** https://jobs.chronicle.com/apply/38052222/assistant-professor-biological-engineering-and-data-science-machine-learning-and-ai-tenure-track?LinkSource=JobDetails

## About the Role

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.

## Description

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.