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 in Toronto employer: University Health Network
University Health Network (UHN) is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for professionals passionate about advancing healthcare through AI-driven research. Located in the heart of Toronto, UHN offers employees access to cutting-edge resources, professional development opportunities, and a commitment to impactful work that enhances patient care. Join us to be part of a dynamic team dedicated to transforming the future of theranostics and clinical trials.
