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

1000scholars; Cambridge (MA); On-site; USD 143,000 - 147,000; Full time

Job summary

Massachusetts Institute of Technology in Cambridge, Massachusetts seeks applicants for a tenure-track faculty position at the assistant professor level, starting July 1, 2027 or mutually agreed date thereafter. This role spans the Department of Biological Engineering and IDSS.

Applicants should have formal graduate training in statistics, data science, machine learning or AI and hold a PhD or equivalent by start of employment.

Qualifications

• Formal graduate training and research focus in statistics, data science, machine learning or artificial intelligence.
• Hold a doctorate degree (PhD or equivalent) by the start of employment in biological engineering, biology, statistics, computer science, mathematical sciences, biophysics, chemical engineering or a related field.

Responsibilities

• Be a faculty member in the Department of Biological Engineering and a Core Member in IDSS.
• Teach courses in Biological Engineering and related subjects at undergraduate and graduate levels.
• Advise students and conduct original scholarly research and develop course materials at graduate and undergraduate levels.

Education

PhD or equivalent in relevant field

Job description

Position 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.

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 opportunity employer. We 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, or national or ethnic origin. View MIT Policy on Non Discrimination and EEOC’s Know Your Rights.

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.