Research Eng Physicist (SRI) Physical Sciences Regular full-time

One of Canadas 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 500000 square feet including in the worlds first Centre for Research in Image-Guided Therapeutics.

Position Overview

The Holland Bone and Joint Program is seeking a Research Engineer or Research Associate 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