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University Health Network

AI Scientist - Deployment of Agentic AI

Posted 13 Hours Ago
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Hybrid
Toronto, ON, CAN
Mid level
Hybrid
Toronto, ON, CAN
Mid level
The AI Scientist will design, develop, and evaluate AI systems for cardiovascular workflows, ensuring tools are effective and safe. Responsibilities include collaborating with clinical teams, adapting AI models, and contributing to research.
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Company Description

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto. 

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality. 

www.uhn.ca 

Job Description

Union: Non-Union
Number of vacancies: 1   
New or Replacement Position: New
Site:  Toronto General Hospital
Department:  Peter Munk Cardiac Centre
Reports to:  Medical Director
Salary Range:  $106,314 to $156,314 per annum
Hours:  37.5 hours per week
Shifts: Days
Status: Permanent Full-time
Closing Date: June 8, 2026

Position Summary

This position offers the chance to help shape how the newest advances in AI are applied responsibly and effectively to cardiovascular disease in a world-class academic environment.  The successful candidate will have access to rich clinical datasets, outstanding local and international collaborators, advanced infrastructure, and the opportunity to generate work with meaningful scientific and patient impact. For more information about the PMCC AI Team, please visit our website at https://pmcc.ai.

University Health Network (UHN) is seeking an exceptional AI Scientist to join the Peter Munk Cardiac Centre (PMCC) AI Team and help advance the development, evaluation, and responsible deployment of artificial intelligence across cardiovascular care, research, and operations.  UHN is Canada’s No. 1 hospital and one of the world’s leading academic health science centres, internationally recognized for excellence in patient care, research, and education.  PMCC is a globally respected cardiovascular centre committed to innovation, discovery, and the responsible adoption of advanced digital and AI technologies to improve patient outcomes and system performance.  This role offers an opportunity to contribute to the next generation of AI in cardiovascular medicine within a major academic hospital environment.

The AI Scientist will play a leading role in the design, development, evaluation, and deployment of AI-enabled tools and systems across PMCC.  The successful candidate will contribute to the creation of agentic AI systems that support complex multi-step clinical, research, and operational workflows; identify opportunities to deploy and adapt existing AI models, foundation models, and decision-support tools in real-world environments; and develop AI-enabled research analytics and workflow tools that strengthen research productivity, operational efficiency, and clinical innovation.  Working closely with clinicians, scientists, software developers, data specialists, and operational leaders, the AI Scientist will help ensure that AI tools are safe, auditable, scalable, and aligned with the strategic objectives of the PMCC and UHN.

Duties

  • Design, develop, and evaluate agentic AI systems that coordinate multi-step clinical, research, and operational workflows with appropriate human oversight, safety controls, and auditability.
  • Identify opportunities to deploy, adapt, and integrate existing AI models, foundation models, and decision-support tools into PMCC clinical, research, and operational environments.
  • Develop AI-enabled research analytics and workflow tools to support cohort discovery, data extraction, knowledge synthesis, study feasibility assessment, outcomes analysis, and investigator productivity.
  • Collaborate with clinical and research teams to integrate AI tools into secure, scalable, and sustainable workflows.
  • Evaluate AI tools in real-world settings, including technical performance, workflow impact, fairness, safety, usability, clinician and researcher adoption, and operational value.
  • Contribute to scholarly activity through publications, presentations, and collaborative research initiatives.

Qualifications

  • MSc, PhD, or equivalent degrees in AI, ML, computer science, biomedical informatics, engineering, data science, or a related field.
  • Strong track record of academic achievement and scholarship in AI, ML, or related computational disciplines.
  • Demonstrated expertise in the development, adaptation, or evaluation of advanced AI methods.
  • Experience translating technical innovation into applied tools, systems, or workflows in healthcare or biomedical research.
  • Strong interpersonal, organizational, and communication skills, with the ability to work effectively in a highly collaborative, interdisciplinary environment.
  • Experience in clinical AI, digital health, cardiovascular data science, or healthcare operations preferred
  • Experience with human-in-the-loop or agentic AI systems, foundation models, large language models, or advanced decision-support tools preferred
  • Experience in research workflow automation, AI-enabled analytics, or the prospective evaluation and deployment of AI tools in practice preferred
  • Knowledge of responsible AI principles, including fairness, transparency, governance, and safety preferred

Additional Information

Why join UHN? 

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN. 

  • Competitive offer packages  
  • Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/) 
  • Close access to Transit and UHN shuttle service 
  • A flexible work environment  
  • Opportunities for development and promotions within a large organization 
  • Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.) 

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.  

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

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