Accelerate drug discovery with UHN as a Data Science Analyst focused on machine learning and AI. Contribute to groundbreaking research using advanced biomedical data sets. UHN is seeking a talented and driven Data Scientist for its Structural Genomics Consortium.

This full time role requires expertise in designing machine learning pipelines and deploying models to optimize drug candidates. You will collaborate with experts in various fields, applying machine learning techniques to complex biomedical data for pre-competitive drug discovery. Key Responsibilities:
Design and deploy end-to-end machine learning pipelines
Develop predictive models for DEL screening data
Implement and optimize deep learning architectures




Conduct exploratory data analysis and visualizations
Maintain MLOps best practices and workflows Requirements:
Master’s with 4 years or Bachelor’s with 6 years experience
Experience in machine learning for biomedical applications
Proficiency in Python and ML libraries like scikit-learn
Hands-on knowledge of DEL data or similar datasets
Robust communication skills for cross-team collaboration This role combines advanced analytics skills with real-world applications to enhance drug discovery at UHN.

📌 Data Science Analyst At Uhn Toronto
🏢 SmartRecruiters
📍 Toronto