AI Scientist - Deployment of Agentic AI (Staff Scientist I)
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Responsibilities
- 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.
- 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.
- Why join UHN?
- In addition to working alongside s
Benefits
Additional Information
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.
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