Machine Learning Specialist

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

Union: Non-Union

Number of Vacancies: 1

New or Replacement Position: New 

Site: Princess Margaret Cancer Centre

Department: DMOH

Reports to: Senior Clinical Research Program Manager

Salary Range: $98,738 - $148,107 Per Year

Hours: 37.5 Hours Per Week

Shifts: Monday - Friday; Days

Status: Permanent Full-time 

Closing Date: June 9, 2026

Position Summary:

We are seeking a Machine Learning Specialist to join our research team. This individual will start with leadership roles for two ongoing high-impact projects: 1) a trial of AI-generated warnings for treatment-related side effects and 2) a study using routinely collected electronic health record data for cancer screening and early detection. This will be collaborative research within our active research group of engineers, students, and healthcare professionals, who have a broad range of projects ongoing.

Duties:

• Develop and apply machine learning and large language model (LLM) methods to diverse oncology data sources,  including electronic health records, free-text clinical notes, and multimodal biomedical data, to support cancer risk prediction, symptom monitoring, and clinical decision-making
• Design and evaluate predictive models for cancer-related outcomes such as treatment adverse events, thrombosis risk, palliative care needs, and surgical prognosis, in collaboration with clinical and research teams
• Contribute to the full research lifecycle including data preparation, model development, validation across internal/external datasets, and dissemination through manuscripts and scientific presentations

 

• At minimum, Bachelor’s Degree in Machine Learning, Statistics, Applied Mathematics, Computer Science, or related quantitative disciplines, required 
• At minimum, 3-5 years practical experience or related experience, required
• Graduate degree (MSc or PhD) in a quantitative field such as computer science, information science, biostatistics, or a related discipline, with hands-on experience applying machine learning to real-world clinical or biomedical datasets, preferred 
• Proficiency in machine learning frameworks and NLP/LLM methods, with demonstrated ability to work with structured clinical data (e.g., EMR, lab values), unstructured text (e.g., clinical notes, pathology reports), and/or imaging data
• Strong capacity to work in a multidisciplinary research environment, communicate findings to both technical and clinical audiences, and contribute to peer-reviewed publications

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.