Assistant Professor - Leadership in Health Informatics Systems and Policy Research

Closing Date: 08/13/2026, 11:59PM ET
Req ID: 46336
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Dalla Lana School of Public Health
Department: Institute of Health Policy, Management, and Evaluation
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

Description: The Institute of Health Policy Management and Evaluation in the Dalla Lana School of Public Health at the University of Toronto (hereinafter, the Institute) invite applications for a full-time tenure stream in the areas of Leadership in Health Informatics Systems and Policy Research. The appointment will be at the rank of Assistant Professor, with anticipated start date of January 1st, 2027.

Candidates must hold a PhD at the time of appointment, in one of the following fields: Health Informatics, Information Science, Information Systems, or other relevant fields. Candidates should have focused expertise in the implementation, or scaling of digital health innovations, with strengths in areas such as data governance and stewardship, socio-technical systems, safety and risk management. Candidates must also have a demonstrated record of excellence in both teaching and research in health informatics policy, leadership and systems research, and proven excellence or emerging excellence as a leader of collaborative, multi-/inter- trans-disciplinary research. The successful candidate will be expected to pursue innovative and independent research, and to establish an outstanding, competitive, and externally funded program.

Innovation in information technology is rapidly transforming healthcare across all levels—from improving individual patient care (micro), to enhancing operations within healthcare organizations (meso), and shaping policy, regulation, and governance at the system level (macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health service delivery in areas such as virtual care, mobile technologies, and wearable devices for health. However, recent research has largely focused on the accuracy of the technology and much less on real-life use at the patient, organizational, and system levels. There are research gaps in understanding how to best design information infrastructure and appropriate policies to sustain, scale, and spread these innovations safely and equitably (i.e., meso and macro level considerations). Examples of these research gaps include infrastructure and policy development related to digital health data governance, data sharing, privacy, equity, safety, innovation mobilization and spread, change management, and strategies to avoid negative unintended consequences.

We seek candidates who demonstrate collegial and collaborative service, and whose research and teaching interests complement and bolster our existing departmental strengths – Health Informatics, User-centred Design and Development of Digital Health Technologies, Artificial Intelligence, Health Systems Research, Implementation Science, Learning Health Systems, Interoperability and virtual health.

Excellence in research, including an emerging reputation in research, can be demonstrated by evidence of an ability to attract competitive external research funding, a record of publications in appropriate top-ranked peer-reviewed journals or forthcoming publications meeting the international standards of excellence, the submitted research statement, and strong endorsements by referees of high international standing. Successful candidates will have also demonstrated commitment to integrating knowledge users, policy makers, and members of the public in their research.

Excellence in teaching will be demonstrated through a strong teaching dossier, which must include a statement of teaching philosophy sample course materials, a record of previous teaching accomplishments and innovations, and teaching evaluations or other evidence of superior performance in teaching-related activities submitted as part of the application, as well as strong endorsements from referees of high standing. Other teaching-related activities can include performance as a teaching assistant or course instructor, experience leading successful workshops or seminars, student mentorship, or excellent conference presentations or posters.

The successful candidate will be expected to teach courses such as in Leadership for Digital Health Transformation; Systems Design and Policy Development in Health Informatics; Information and Interoperability Governance; Knowledge Management and Systems, AI/ML and Precision Medicine and Digital health Implementation and Translation for professional and research stream students. The candidate will have the opportunity to assume academic leadership positions including advancing the curricula related to health informatics in the Institute’s professional and research programs. The candidate may also have the opportunity to teach undergraduate courses.

The expected salary range is $130,000-$150,000 CAD per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

Application Process: All qualified candidates are invited to apply online by clicking on the link below. Applications must submit a cover letter; a current curriculum vitae; a research statement outlining current and future research interests; a recent writing sample; and a teaching dossier including a teaching statement, sample course materials, and teaching evaluations or evidence of superior performance in other teaching relating activities as listed above.

Applicants must provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours after an application is submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. More details on the automatic reference letter collection, including timelines, are available in the candidate FAQ.

Submission guidelines can be found at: http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have questions about this position, please contact Precious Canlas at IHPME at ihpme.director@utoronto.ca.

All application materials, including recent letters of reference, must be received by August 13, 2026.