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About the Role
Be a core contributor to clinical grade deep learning products
Architect key components of the deep learning platform
Train robust and interpretable deep learning models for impactful medical tasks
Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
Build full stack deep learning solutions from research to deployment
Requirements
MS/PhD in Computer Science, Electrical Engineering, Bioinformatics, Statistics, Biomedical Data Science
1-2 first author research papers at top conferences or journals
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
