Contribute to clinical deep learning products by architecting, training models, and designing datasets for medical applications.
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
Top Skills
Deep Learning
Medical Datasets
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The role involves integrating thermal systems and performing virtual simulations for vehicle models, ensuring collaboration across engineering disciplines, and refining design policies.
Top Skills:
AmesimAvl-CruiseCarmakerCarsimFluentGitGt-SuiteKuliMatlabRtcSimericsSimulinkStar-Ccm+SvnTeamcenterTfs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Manage complex technical programs, ensuring risks are mitigated while coordinating cross-functional teams, enhancing screening infrastructure and internal tools for scalability.
Top Skills:
Agile MethodologiesApi IntegrationsConfluenceJIRA
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead and oversee the quality assurance of third-party integrations across various platforms, ensuring functionality and security standards while managing a distributed QA team.
Top Skills:
APIsIntegration TestingQa MethodologiesTest Automation
What you need to know about the Ottawa Tech Scene
The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.
