Open Rank Teaching Professor in AI and Health Data

2 weeks ago


Boston, Massachusetts, United States Northeastern University Full time

About the Opportunity

About the Opportunity

Northeastern University invites applications for a non-tenure track open rank Teaching Professor position in artificial intelligence and health data, beginning in the 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.

Responsibilities

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.

Qualifications

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.

About Northeastern

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.

A strong and effective faculty development strategy is part of the Northeastern institutional mission. The ADVANCE Office of Faculty Development office works in conjunction with the Office of Research Development (ORD), the Center for Advancing Teaching and Learning Through Research (CATLR), and University Decision Support (UDS) to provide programs and trainings to further develop and support a thriving faculty.

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 biomedical sciences and supports the University's mission of educating students for a life of fulfillment and accomplishment and creating and translating knowledge to meet global and societal needs. The College comprises four schools with eight departments: 1) School of Clinical and Rehabilitation Sciences (Departments of Communication Sciences and Disorders, Medical Sciences, and Physical Therapy, Movement and Rehabilitation Sciences); 2) School of Community Health and Behavioral Sciences (Department of Applied Psychology and Department of Public Health and Health Sciences); 3) School of Nursing; 4) School of Pharmacy and Pharmaceutical Sciences (Department of Pharmaceutical and Biomedical Sciences and Department of Pharmacy and Health System Sciences).

Additional Information:

Interested candidates should apply here with a curriculum vita that includes teaching experiences and a list of publications, statement addressing the prompts below, and names and contact information for at least three professional references from whom reference can be solicited as needed. Applications will be reviewed beginning on December 1, 2025. Questions about the search should be directed to Jennifer Kirwin, Senior Associate Dean of Academic Affairs at

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: Please describe your experience with health data, AI/ML, or related fields including the projects you have participated in, any funding you have received to support the work (if applicable), and the results and products of these efforts. Please also describe any data/ML/AI work you have undertaken with students and the external community or research you have undertaken with students in a mentor role (such as thesis or capstone course advisor).

Part 2: Describe your teaching experience, including the courses you have participated in designing or teaching, your pedagogical philosophy, plans/goals for teaching (including existing and proposed courses), and your strategies for teaching and mentoring undergraduate and graduate students.

Part 3: Please summarize your administrative experience (if applicable) or interest in serving as an academic lead in an interdisciplinary program.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit for more information.

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.

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

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.



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