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 Biomedical Data Scientist (Toronto)
🏢 University Health Network
📍 Toronto