Teaching Professor in AI and Health Data

Teaching Professor Position In Artificial Intelligence 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. This 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. The successful candidate 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.

Successful candidates will be appointed primarily in one of the departments within the Bouvé College of Health Sciences depending on interest and expertise. Faculty members may teach in programs with an interdisciplinary student body including students from the Bouvé College of Health Science, Khoury College of Computer Science, College of Engineering, and College of Science.

In this role, the faculty member is expected to 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; and participate in service to the department, university, and discipline.

Applicants must have a PhD, ScD (or equivalent) in Applied Mathematics, Biology, Computer Science, Engineering, Physics, Psychology, Public Health, Social Sciences, Statistics, or related fields by the appointment start date. We encourage applicants from a wide range of backgrounds, including academia and industry.

All applicants should have a strong record of accomplishment that demonstrates the ability to succeed at teaching technical courses on AI and health data to students from backgrounds ranging from health to computer science. Appointment at an academic rank above the Assistant level will be commensurate with experience and qualifications reflecting a record of demonstrated teaching excellence. Candidates seeking appointment at the Associate or Full Teaching Professor level should have a minimum of 5 or 10 years of demonstrated teaching, scholarship, and administrative excellence, respectively.

Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.

Northeastern's personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment.

Our research enterprise, with an R1 Carnegie classification, is solutions-oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today's highly interconnected global challenges and focused on transformative impact for humankind. Our locations—in Boston;
Charlotte, North Carolina;
London;
Portland, Maine;
Miami, San Francisco;
Seattle;
Silicon Valley;
Toronto;
Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's Bouvé College of Health Sciences has over 250 faculty members, with approximately 2,000 undergraduate and 2,400 graduate students. It is the leading national model for education and research in the health, psychosocial and…