Apply machine learning and AI to biomedical datasets at UHN’s MaRS site in Toronto, supporting drug discovery research through predictive modeling.
As a Data Scientist with the Structural Genomics Consortium, you will develop models for DNA-Encoded Library screens and other complex datasets. You will work with software developers, structural biologists, medicinal chemists, bioinformaticians, and research collaborators. The work supports open science and pre-competitive drug discovery.
Key Responsibilities: Design end-to-end machine learning pipelines from ingestion through deployment
Develop predictive models for DNA-Encoded Library screening data
Implement transformers, graph neural networks, and generative models
Perform exploratory analysis, statistical modeling, and visualization




Maintain versioning, automation, tracking, and reproducible workflows
Requirements: Degree in computer science, data science, bioinformatics, or related field
Master’s degree with four years related experience
Bachelor’s degree with six years related experience
Python, scikit-learn, pandas, and NumPy expertise
Experience with biomedical machine learning and multidisciplinary collaboration
Bring biomedical modeling, Python, deep learning, and communication expertise to UHN’s drug discovery research programs.

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📌 Senior Biomedical Data Scientist (Ontario)
🏢 University Health Network
📍 Ontario