Research Technical Assistant - AI and Multimodal Foundation Models

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

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Position Summary

The Peter Munk Cardiac Centre (PMCC) AI team is seeking one highly motivated AI Research Student to join our multidisciplinary team and contribute to the development of next-generation multimodal foundation models and agentic AI systems for biomedical and healthcare applications. This is a unique chance to be at the cutting edge of AI research in healthcare, driving projects that make a tangible impact on patient outcomes and clinical practices around the globe.

Working closely with the Lead AI Scientist, staff scientists, clinicians, and domain experts, students will participate in cutting-edge research aimed at building AI systems capable of integrating diverse biological modalities and enabling translational discoveries. This position offers a unique opportunity to work at the intersection of computer vision, natural language processing, structural biology, and biomedical imaging. Successful candidates will have the opportunity to contribute to high-impact research projects, publications, and open-source software development. This position provides an exceptional opportunity to gain hands-on experience in state-of-the-art AI research and collaborate with leading scientists in a highly interdisciplinary environment.

The successful candidate will join the highly collaborative and exceptionally productive PMCC AI team, which brings together clinicians, AI and staff 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. and aligned with the strategic objectives of the PMCC and UHN., 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.

Duties

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.