Company Description 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.

www.uhn.ca

Job Description Union: Non-Union

Number of vacancies: 1 Site: Toronto General Hospital

Department: Toronto General Hospital Research Institute

Reports to: Chief AI Scientist

Hours: 37.5 hours per week

Shifts: Monday to Friday

Status: Temporary Full-Time

Closing Date: October 7, 2025

Laboratory of Dr. Bo Wang Dr. Bo Wang is a tenured Associate Professor at the University of Toronto, Chief AI Scientist at the University Health Network, a CIFAR AI chair at the Vector Institute and the Senior Vice President and Head of Biomedical AI at Xaira Therapeutics. His research focuses on machine learning, computational biology and computer vision with an emphasis on applications in biomedicine and has now published over 100 high impact academic papers, including in Nature, Nature Biotechnology, Nature Methods, and Lancet Digital Health.

Position Summary This fellow is dedicated to advancing research at the intersection of artificial intelligence and biomedicine. The successful candidate will contribute to developing generative models and foundational models that transform genomics , medical imaging , clinical research, and clinical decision-making , with an emphasis on interpretability, scalability, and biomedical impact.

Key Responsibilities

• Develop and train large-scale AI models targeting the domains above.
• Integrate heterogeneous data, such as genomic, imaging, clinical, and textual, into unified modeling frameworks.
• Prioritize model interpretability and robust uncertainty characterization.
• Collaborate across U of T, UHN, and Vector Institute, including potential industry partnership initiatives.
• Mentor graduate students, contribute to lab seminars, and present research both internally and externally.

Research Focus This position centers on developing advanced algorithms in AI for biomedicine, including:

• Genomics and Multi-omics Modeling
• Build scalable AI frameworks that integrate single-cell and multi-omic data to model cellular states, uncover biomarkers, and predict molecular behavior.
• Biomedical Image Analysis
• Develop foundation models and multi-modal models for accurate diagnostics, treatment planning, and disease monitoring across imaging modalities such as histopathology and radiology.
• Clinical Research
• Empowers clinical research by accelerating data analysis, improving trial design, optimizing patient recruitment, and enhancing predictive modeling to ultimately making studies faster, more accurate, and cost-effective.

Clinical Decision Support

• Empower data-driven decision-making by fusing clinical narratives, imaging outputs, and molecular profiles into cohesive, interpretable models that support patient diagnosis, prognosis, and treatment planning.

Qualifications

• PhD in Computer Science, Computational Biology, Biomedical Informatics, Biomedical Engineering, and Applied Mathematics, or a related field.
• Strong background in machine learning, with experience relevant to generative models (e.g., LLMs), foundation models and multimodal data analysis.
• Proficiency in programming and standard deep learning frameworks (e.g., PyTorch, Transformers).
• Demonstrated ability to communicate effectively and work collaboratively in interdisciplinary environments.
• Publication record indicative of rigorous, impactful research.

Application

• CV with emphasis on recent publications and relevant experience.
• Recent Publications: include 2–3 representative works from the past two years.
• Cover Letter describing:
• Your research trajectory and accomplishments.
• Motivation and fit with these high-impact biomedical AI domains.
• Potential research directions you'd like to pursue.

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.