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.

📌 Senior Medical Data Scientist (Toronto)
🏢 University Health Network
📍 Toronto