University Health Network
Healthcare
MachineLearningSpecialist
“Machine Learning Specialist at University Health Network. Skills: Machine Learning, LLM, predictive models. Develop and apply machine learning methods. Develop and apply large language model methods”
What You'll Achieve.
cancer risk prediction; symptom monitoring; clinical decision-making; treatment adverse events; thrombosis risk; palliative care needs; surgical prognosis
Industry & Context.
cancer risk prediction; symptom monitoring; clinical decision-making; treatment adverse events; thrombosis risk; palliative care needs; surgical prognosis
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 (e.g., EMR, lab values), unstructured text (e.g., clinical notes, pathology reports), and/or 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 research lifecycle
How You'll Work.
Team & Collaboration
collaborative research within our active research group; collaboration with clinical and research teams; work in a multidisciplinary research environment
Communication Scope
communicate findings to both technical and clinical audiences
Applying for this Machine Learning Specialist role?
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