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Northeastern University

Open Rank Teaching Professor in AI and Health Data

Northeastern University, Boston, Massachusetts, us, 02298

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Open Rank Teaching Professor in AI and Health Data Northeastern University invites applications for a non‑tenure track open‑rank Teaching Professor position in artificial intelligence and health data, beginning in the 2026‑27 academic year. The position will be located at Northeastern University’s Boston campus and successful candidates will be expected to work in the Boston area with some potential for online teaching to other campus locations.

Successful candidates should have experience working with data and programs focused on health behaviors and/or health‑related outcomes at the individual‑ and/or population‑level. A successful candidate’s technology background may include artificial intelligence methods, health data forecasting, health informatics, or digital health. Candidates at any rank are encouraged to apply.

Responsibilities

Teach technical courses related to AI and health data at the graduate and undergraduate level.

Serve as the lead for the Bouvé concentrations in the MS Artificial Intelligence and MS Data Science degree programs throughout the Northeastern global university system.

Mentor students in their area of expertise.

Participate in service to the department, university, and discipline.

Qualifications

PhD or equivalent (ScD) in Applied Mathematics, Biology, Computer Science, Engineering, Physics, Psychology, Public Health, Social Sciences, Statistics, or related fields by the appointment start date.

Strong record of accomplishment that demonstrates the ability to succeed at teaching technical courses on AI and health data to students from diverse backgrounds.

For Associate or Full Teaching Professor level, a minimum of five or ten years of demonstrated teaching, scholarship, and administrative excellence, respectively.

Application Information Interested candidates should apply with a curriculum vitae that includes teaching experiences, a list of publications, a statement addressing the following prompts, and names and contact information for at least three professional references. Applications will be reviewed beginning on December 1, 2025. Questions should be directed to Jennifer Kirwin, Senior Associate Dean of Academic Affairs, at j.kirwin@northeastern.edu.

Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work with a written statement addressing the following prompts:

Part 1: Describe your experience with health data, AI/ML, or related fields, including projects, any funding received, results, and products, as well as data/ML/AI work undertaken with students and external community. Part 2: Describe your teaching experience, courses taught or designed, pedagogical philosophy, teaching goals, and strategies for mentoring undergraduate and graduate students. Part 3: Summarize your administrative experience (if applicable) or interest in serving as an academic lead in an interdisciplinary program.

Pay Range 52‑week salary ranges: Assistant Teaching Professor: $109,000 – $128,000 | Associate Teaching Professor: $126,000 – $146,000 | Teaching Professor: $161,000 – $179,000. Starting salary will depend on education, experience, location, knowledge, and skills. Salary ranges are reviewed regularly and are subject to change.

Benefits Northeastern University offers a comprehensive benefits package for benefit-eligible employees, including medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement, and commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

EEO Statement All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Job Details

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Education and Training

Industry: Higher Education

Position type: Academic

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