One of Canada's Top 10 Research Hospitals, Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually.

Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre, a teaching hospital fully affiliated with the University of Toronto. Research spans three Toronto-based campuses, eight programs and three scientific platforms. Our main aims are to understand and prevent disease, and to develop treatments that enhance and extend life. Our vision is to invent the future of health care. Each year, we conduct about $100 million in research across 500,000 square feet, including in the world’s first Centre for Research in Image-Guided Therapeutics.

Position Overview

The Holland Bone and Joint Program is seeking a Research Engineer/Physicist to support development and deployment of a federated AI-enabled imaging and EHR analytics platform integrating deep learning, large language models, quantitative imaging biomarkers, and advanced visualization tools.

This position combines hands-on software development, medical image analysis, data integration, and technical coordination within a clinically translational research environment.

General duties will include typical day to day management of an experimental lab and computational research facility. This includes assisting with purchasing, software licensing, hardware integration, updating project documentation (AUPs, REBs, drug exemptions, etc.) and maintaining lab equipment, space, and information systems (confluence, software repositories) in concert with other employees. The ideal candidate will have strong organizational and time-management skills to maintain current lab procedures and implement new systems to enhance lab function while conducting their research-related activities.

Key Responsibilities

Technical Development

Implement, test, and deploy containerized AI algorithms for medical imaging analysis Develop and maintain image processing and biomarker extraction pipelines Support integration of imaging outputs with clinical databases Contribute to LLM-based EHR data extraction workflows Assist in federated learning infrastructure deployment and validation Support advanced visualization and VR-based simulation integration

Data & Validation

Develop standardized cohort queries and data harmonization workflows Perform image processing, quantitative analysis, and quality control Support algorithm benchmarking and validation studies

Lab & Project Operations

Maintain documentation and software repositories Support ethics documentation and data governance processes Assist with hardware/software integration and system maintenance

Qualifications

Required:

BSc or MSc in Biomedical Engineering, Computer Science, Mechanical Engineering, or related field Strong Python programming skills Experience with deep learning frameworks (PyTorch preferred) Experience with medical image processing tools

Preferred

Experience with Docker or containerized pipelines Experience working with clinical databases SQL experience Familiarity with federated learning concepts Experience with 3D visualization or rendering tools