Postdoctoral Researcher (AI for Biomedicine)

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 

1. CV with emphasis on recent publications and relevant experience. 
2. Recent Publications: include 23 representative works from the past two years. 
3. Cover Letter describing: 

• Your research trajectory and accomplishments. 
• Motivation and fit with these high-impact biomedical AI domains. 
• Potential research directions youd 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 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 UHNs 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.

Remote Work :

No

Employment Type :

Full-time