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AI Scientist - Deployment of Agentic AI (Staff Scientist I)

University Health Network

Toronto, ON

Job typeFull-time
SpecialtyTechnical
Compensation$103,458 – $153,458/year
Posted2 weeks ago

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Location200 Elizabeth Street M5G 2A7, Toronto, ON, CAOpen

eHealth role summary

Role is focused on designing, developing, evaluating, and deploying AI-enabled tools and decision-support systems for cardiovascular clinical, research, and operational workflows within a major hospital — core digital health / clinical informatics work.

About this role

Union: Non-Union 
Number of vacancies: 1    
New or Replacement Position: New 
Site: Toronto General Hospital 
Department: Peter Munk Cardiac Centre (PMCC) 
Reports to: Executive Lead, PMCC AI Team, and Lead PMCC AI Scientist 
Salary Range: $103,458 to $153,458 per annum 
Hours: 37.5 hours per week 
Shifts: Days 
Status: Permanent Full-time 
Closing Date: June 17, 2026 

Position Summary 

The Peter Munk Cardiac Centre (PMCC) seeks an exceptional AI Scientist to help advance the development, evaluation, and responsible deployment of AI across cardiovascular care, research, and operations. The PMCC is a core University Health Network (UHN) Program dedicated to innovation, discovery, and the responsible adoption of advanced digital and AI technologies to improve patient outcomes and system performance. This position offers the chance to help shape how the newest advances in AI are applied responsibly and effectively to the management of 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.  

The AI Scientist will play a leading role in the design, development, evaluation, and deployment of AI-enabled tools and systems across the 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.  

The successful candidate will join the highly collaborative and exceptionally productive PMCC AI team, which brings together clinicians, AI and data scientists, software developers, machine learning engineers, researchers, and operational leaders across cardiology, cardiac surgery, vascular surgery, critical care, medical imaging, and digital health, and will help ensure that AI tools are safe, auditable, scalable, and aligned with the strategic objectives of the PMCC and UHN. For more information about the PMCC AI Team, please visit our website at https://pmcc.ai. 

This AI Scientist role offers an opportunity to contribute to the next generation of AI in cardiovascular medicine and surgery within a major academic hospital environment. Salary will be commensurate with the successful candidate’s qualifications, experience, academic profile, and programmatic fit. 

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

  • PhD, or equivalent degrees in AI, ML, computer science, biomedical informatics, engineering, data science, or a related field. 
  • 3-5 years’ closely related experience OR combination of education, experience and demonstrated ability that is recognized as equivalent.
  • 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.