Research Summer Student 2026

Union: Non-Union
Number of Vacancies: 1
New or Replacement Position: New
Site: Hydro Place - 700 University Avenue
Department: Research
Reports to: Medical Physicist, Radiation Medicine Program
Salary Range: $17.60 – $20.91 Per Hour
Hours: 37.5 Hours Per Week
Shifts: Monday - Friday
Status: Temporary Full-time
Closing Date: May 19, 2026

Position Summary:                                                                                                                                         
The Radiation Medicine Program at Princess Margaret Cancer Centre is a global leader in radiation oncology, combining clinical excellence with cutting-edge research to improve cancer outcomes. A key emerging challenge in modern radiation oncology is the safe and efficient planning of re-irradiation treatments, where patients receive radiation therapy after prior courses of treatment. Accurate assessment of historical radiation dose is critical but often limited by fragmented and poorly structured legacy data.

This project aims to address this challenge through the development of an automated machine-learning pipeline to curate and classify historical radiotherapy treatments. Leveraging deep-learning auto-segmentation and dosimetric feature extraction, the system will generate structured summaries of prior treatments to support both clinical decision-making and large-scale research. The Summer Student will contribute directly to the development, validation, and deployment of this pipeline on institutional treatment data, helping enable a transformative improvement in re-irradiation workflows.

Duties:

• Perform data mining and quality-control for large clinical datasets.
• Implement a large language model (LLM) and AI agent to analyze and organize historical radiation treatment planning data.
• Contribute to the development of a structured database summarizing prior radiotherapy treatments.
• Develop a WPF application provides a user interface to the AI agent for use in clinical treatment planning workflows.
• Assist with preparation of research outputs including abstracts, presentations, and manuscripts.

                                                                                                        

• Must be 16 years of age or older, per UHN policy
• Your appointment runs between May 2026– August 31, 2026
• Currently enrolled in an Undergraduate or Graduate program in Medical Physics, Biomedical Engineering, Computer Science, Physics, or a related field.
• Strong interest in radiation oncology, medical imaging, or machine learning in healthcare.
• Experience with Python programming and scientific computing libraries (e.g., NumPy, pandas, scikit-learn)
• Experience with developing AI agents using open-source LLMs is an asset
• Experience working with medical imaging or healthcare data is an asset
• Strong analytical, problem-solving, and organizational skills
• Ability to work independently and collaboratively in a multidisciplinary research

Why join UHN?

In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.