University Health Network
Healthcare
MachineLearningSpecialist
Neural analysis suggests this role is
optimal for not-applicable candidates.
“Machine Learning Specialist at University Health Network. Skills: Machine Learning, Large Language Model, predictive models. Develop and apply machine learning methods. Develop and apply large language model methods”
What You'll Achieve.
support cancer risk prediction; support symptom monitoring; support clinical decision-making
Industry & Context.
cancer risk prediction; symptom monitoring; clinical decision-making
Criminal Record Check may be required
What They're Looking For.
Must Have
Bachelor’s Degree in Machine Learning, Statistics, Applied Mathematics, Computer Science, or related quantitative disciplines, 3-5 years practical experience or related experience
Nice to Have
Graduate degree (MSc or PhD) in a quantitative field such as computer science, information science, biostatistics, or a related discipline, hands-on experience applying machine learning to real-world clinical or biomedical datasets, Proficiency in machine learning frameworks and NLP/LLM methods, demonstrated ability to work with structured clinical data, demonstrated ability to work with unstructured text, demonstrated ability to work with imaging data, capacity to work in a multidisciplinary research environment, communicate findings to both technical and clinical audiences, contribute to peer-reviewed publications
What You'll Do.
Develop and apply machine learning methods
Develop and apply large language model methods
Design and evaluate predictive models
Contribute to data preparation
Contribute to model development
Contribute to model validation
Contribute to dissemination
How You'll Work.
Team & Collaboration
collaborative research within our active research group; collaboration with clinical and research teams
Communication Scope
communicate findings to both technical and clinical audiences
Full Job 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](https://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 d
Applying for this Machine Learning Specialist role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about University Health Network?
Real rants from real employees. Read before you apply.