University Health Network

Healthcare

FacultyAIScientist(ScientistII)

Toronto, Ontario, Canada FULL TIME
The Brief

“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.

Healthcare
Problems you'll solve

identify high-value problems in cardiovascular medicine and surgery

Eligibility Requirements

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

Free ATS check

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