University Health Network
Healthcare
FacultyAIScientist(ScientistII)
“Faculty AI Scientist (Scientist II) at University Health Network. Skills: Cardiovascular Artificial Intelligence, AI applications in cardiovascular disease, AI model development and deployment. Lead the development, validation, and deployment of AI models for cardiovascular applications using multimodal data. Apply the latest approaches in AI, including deep learning, transformer architectures, foundation models, multimodal learning, self-supervised learning, generative AI, agentic workflows, an”
What You'll Achieve.
improve the management of patients with conditions that can lead to heart failure; improve diagnosis, risk prediction, clinical decision-making, workflow, and patient outcomes across cardiovascular care; ensure that AI tools are safe, auditable, scalable, and aligned with the strategic objectives of the PMCC and UHN; improve patient outcomes
Industry & Context.
identify high-value problems in cardiovascular medicine and surgery
Criminal Record Check may be required
What They're Looking For.
Must Have
PhD or equivalent advanced degree in computer science, machine learning, biomedical engineering, data science, statistics, or a related field, expertise in modern AI and machine learning methods, hands-on experience developing state-of-the-art models, programming skills, especially in Python, experience with modern ML frameworks and compute environments, Demonstrated success in research, including peer-reviewed publications and/or impactful applied AI work, a track record of peer-reviewed funding, Ability to work effectively in interdisciplinary teams, communicate complex ideas clearly to both technical and clinical audiences
Nice to Have
Previous work in cardiovascular medicine, biomedical data science, or healthcare AI preferred, Multimodal data fusion, medical imaging, time-series analysis, NLP, or foundation model development preferred, Real-world deployment of AI in healthcare settings preferred, AI safety, explainability, fairness, governance, and model monitoring preferred
What You'll Do.
and deployment of AI models for cardiovascular applications using multimodal data
Apply the latest approaches in AI
including deep learning
transformer architectures
self-supervised learning
and large language models
Work closely with clinicians and operational leaders to identify high-value problems in cardiovascular medicine and surgery
Translate problems into ethical
scalable AI solutions that are deployed and evaluated in a real-world healthcare environment
cross-functional team that owns the end-to-end delivery of AI initiatives from problem framing to deployment
Build reproducible pipelines for data curation
and continuous improvement
Support prospective validation
and post-deployment monitoring of algorithms in clinical practice
Contribute to the growth of a leading cardiovascular AI program
Collaborate across scientific
and industry partnerships
How You'll Work.
Team & Collaboration
Work closely with clinicians and operational leaders; Assemble a dedicated, cross-functional team that owns the end-to-end delivery of AI initiatives; Collaborate across scientific, clinical, and industry partnerships
Communication Scope
communicate complex ideas clearly to both technical and clinical audiences
Process & Methodology
end-to-end delivery of AI initiatives from problem framing to deployment
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