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Tier 2 Research Chair in Applied AI Innovation in Public Health

Job in Ottawa, Ontario, Canada
Listing for: University of Ottawa
Full Time position
Listed on 2026-08-03
Job specializations:
  • Healthcare
    Public Health, Data Scientist
Job Description & How to Apply Below

Posting Reason:

New Position

Job Family:

Academic Leadership and Faculty

Union affiliation:

APUO

Faculty/Department:

SEPH Professors

Campus:

Roger Guindon Hall

Date Posted (YYYY/MM/DD):

2026/04/20

Applications must be received
BEFORE (YYYY/MM/DD):

The University of Ottawa invites applications for a Tier 2 Canada Research Chair (CRC) in Applied AI Innovation in Public Health. The successful candidate will hold a tenure-track position with the , and a Scientific appointment to the (UOHI) and be a Core Academic Member of the (BHI). Located on the unceded territory of the Anishinaabe-Algonquin people, in the heart of the nation`s capital and in close proximity to multiple national agencies, the University of Ottawa is one of Canada's top ten research-intensive universities.

It is recognised as the first and largest bilingual university in North America and offers strong connections to organisational, government and policy interest holders.

This interdisciplinary Canada Research Chair will advance a cutting-edge research program at the intersection of applied artificial intelligence, public health, and health systems transformation, drawing on relevant fields such as Biostatistics, Applied Artificial Intelligence (AI), Information Systems, or Health Informatics. Leveraging the unique clinical populations, cohorts, and high-demand clinical administrative and imaging data of the UOHI, and supported by the Institute’s robust informatics infrastructure and the Data Science Centre, the Chair will answer the following broad questions:

• How can the application of frontier AI models and modeling methods, coupled with determinants of health, and clinical and administrative data generate actionable insights to improve the health and wellness of populations?

• How can the application of frontier AI models and modeling methods improve public health, with particular focus on prevention, early disease detection, and management of chronic disease?

• How can the application of frontier AI models and modeling methods contribute to health systems transformation so as to meet the current public health challenges with an eye to equity, accessibility, and social accountability?

• How can the application of frontier AI models and modeling methods support decisions by public health professionals, clinicians, system leaders, funders, and/or citizens/patients, while maintaining a strong human-centered approach?

The successful candidate will become an integral part of our dynamic and research-intensive environment with access to state-of-the-art facilities and strong support from the University of Ottawa and UOHI, where artificial intelligence research has been identified as a strategic priority within our 'Digital World' research mandate. In addition to the School of Epidemiology and Public Health, this environment encompasses the Faculty of Medicine’s clinical departments (e.g., Department of Medicine), as well as departments of Cellular and Molecular Medicine (CMM), Biochemistry, Microbiology and Immunology (BMI), School of Pharmaceutical Sciences (SPS) and the Department of Innovation in Medical Education (DIME).

As a faculty member at the School of Epidemiology and Public Health the candidate will support the research and education strategic directions of the School and contribute to the training of the next generation of research leaders. The strategic plans of the School, Faculty and University will serve as clear guiding posts for action.

The Chair will also contribute directly to the UOHI’s 2025-30 strategic plan, aligning with the major institutional pillar to ‘Harness data, AI, and technology- with a human touch’, leveraging the UOHI Data Science Center fo develop and validate AI-enabled methods, advance ethical, equitable AI approaches in healthcare, and support translational pipelines from data-driven discovery to clinical and public health implementation. As a Core Academic Member of the (BHI), the candidate will be well positioned to apply their skills to the unique challenges of interconnected brain-heart disorders.

The BHI is a ground-breaking interdisciplinary research program aimed at accelerating prevention,…

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