UHN CA Careers – Scientific Associate

Job Description:

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

Job Responsibilities:

• Interpret and communicate technical results and methods clearly and interact cross-functionally with a wide variety of people and teams;
• Self-Motivate and set high standards of performance while driving for results and achievements;
• Work on multiple concurrent projects and products, effectively following timelines, goals, and cross-functional collaborations;
• Show respect and appreciation for your colleagues’ needs and appreciate differences as much similarities;
• Iterate on key features and build new statistical and machine learning models relating measured features to clinical endpoints;
• Perform statistical analysis on patient datasets including parametric and non-parametric tests, data mining and ML/AI algorithms;
• Develop quality control and data processing tools for a broad range of digital and clinical data types;
• Work openly and collaboratively with all pillars of the PM Cancer Digital Intelligence Program;
• Be well informed about current trends in ML and AI.
• Leverage patient data to enable hypothesis generation and design studies for validation in clinically relevant contexts;
• Take responsibility for your personal and professional development
• Apply expert knowledge of computational analysis in areas such as patient-centric-omics data, and data integration to enable progression of innovative biomarkers and ML models into the clinic;
• Share knowledge with enthusiasm and empower your colleagues;
• Identify issues of practical or theoretical importance and then conduct independent studies to derive solutions through innovative mathematical/computational approaches;
• Collaborate with clinical care providers, researchers and educators to understand pertinent research questions and facilitate data-driven program decisions;

Job Requirements:

• PhD degree in machine learning, computer science, bioinformatics, statistics, applied mathematics or related disciplines, or masters degree in similar fields
• At least one (1) year of related experience
• Excellent communication skills and ability to utilize a collaborative approach to solving challenging problems;
• Experience with Python (scikit-learn, Pandas, etc.) and deep learning frameworks (TensorFlow or PyTorch)
• Experience with healthcare data types, topics, and scientific challenges and approaches preferred.

Job Details:

Company: University Health Network

Vacancy Type:  Full Time

Job Location: Toronto, ON, CA

Application Deadline: N/A

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