AI Scientist Deployment of Agentic AI

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:  $106314 to $156314 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 .

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 Canadas No. 1 hospital and one of the worlds 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  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 UHNs 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.

Remote Work :

No

Employment Type :

Full-time