Overview
Post-Doctoral Fellow; SRI – Physical Sciences – Temporary Jobs in Toronto, Canada at Sunnybrook Health Sciences Centre
Title: Post-Doctoral Fellow; SRI – Physical Sciences – Temporary
Company: Sunnybrook Health Sciences Centre
Location: Toronto, Canada
Category:
Position: Post-Doctoral Fellow (SRI) – Physical Sciences – Temporary Full-time 2026-16669
Position Overview
The Holland Bone and Joint Program at Sunnybrook Research Institute is seeking a Postdoctoral Fellow to contribute to projects focused on medical image analysis, advanced visualization, and analysis of electronic health record (EHR) data within a federated network.
The successful candidate will conduct research at the intersection of:
- Deep learning for medical image analysis
- Image-based biomarker development
- Multimodal modeling combining imaging and longitudinal EHR data
- Federated learning infrastructure
- Large language models (LLMs) for automated EHR labeling
- Advanced visualization and surgical simulation
This role offers the opportunity to work on clinically translational AI research in spine, trauma, and oncology applications within a secure, multi-institutional data framework.
Key Responsibilities
- Develop and validate deep learning algorithms for medical image segmentation, registration, and quantitative biomarker extraction (CT, MRI)
- Design multimodal predictive models integrating imaging biomarkers with longitudinal clinical data
- Contribute to federated learning workflows for multi-site model training and validation
- Develop and evaluate LLM‑based pipelines for structured data extraction from EHR text
- Support development of VR‑enabled visualization and patient‑specific simulation tools
- Conduct cross‑site validation and generalization studies
- Publish peer‑reviewed manuscripts and present at scientific conferences
- Mentor graduate students and trainees
Required Qualifications
- PhD received in the last 5 years in Biomedical Engineering, Computer Science, Medical Physics, Data Science, or a related discipline
- Strong background in deep learning (PyTorch or Tensor Flow)
- Experience in medical image analysis
- Strong programming skills (Python required)
- Demonstrated research productivity and publication record
Preferred Qualifications
- Experience working with clinical or OMOP‑CDM databases
- Experience with federated learning frameworks
- Experience applying NLP or LLMs to clinical text
- Familiarity with Docker/containerized pipelines
- Interest in translational and clinically deployed AI systems
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