Company Description

UHN is Canada's #1 hospital and the world's #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN's vision is to build A Healthier World and it's only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Union: Non-Union
Site: Princess Margaret Cancer Centre
Department: Radiation Medicine Program
Reports to: Associate Professor, Radiation Medicine Program
Work Model: Hybrid
Job Code: 0536
Hours: 35 Hours Per Week
Salary: $17.20 - $19.16 Per Hour (To commensurate with experience and consistent with UHN compensation policy)
Status: Temporary Full-Time
Closing Date: April 25, 2025

Job Summary:

The Radiation Medicine Program (RMP) at the Princess Margaret Cancer Centre is dedicated to providing exceptional patient care and advancing innovative research in radiation oncology. As a comprehensive program, RMP is focused on improving patient outcomes through state-of-the-art technology, clinical trials, and interdisciplinary collaboration. The team works closely with clinical, research, and educational partners to improve radiation therapies and contribute to cutting-edge advancements in cancer treatment.

One of our current initiatives involves leveraging large language models, such as ChatGPT-4o, to support the screening and synthesis of clinical trial data for oncology. After successfully piloting an AI-assisted systematic review model for identifying radiotherapy-focused pancreatic cancer trials, we are expanding this methodology to other cancer types and building tools to automate the extraction and summarization of clinical trial outcomes.

The summer research student will contribute to cutting-edge cancer research by applying and enhancing AI-driven tools, including large language models like ChatGPT-4o, to streamline clinical trial analysis and support the advancement of radiation oncology treatments.

We ask that applicants attach a cover letter with their application.

Key Responsibilities:

• Apply and optimize a validated ChatGPT-4o-assisted systematic review screening methodology to a new cancer type, under supervision.
• Use Excel and Covidence outputs to support AI-prompt tuning and validation.
• Assist in the development of a ChatGPT/LLM-based pipeline for abstract-level extraction of trial outcomes (e.g., survival, toxicity, response rates).
• Contribute to the creation of summary dashboards and comparison tables from extracted data to facilitate decision-making and knowledge translation.
• Conduct supporting literature reviews related to radiotherapy, systematic review methodologies, and LLM-based research tools.
• Assist with manuscript preparation, documentation of methods, and possible conference submissions.
• Participate in weekly research meetings and collaborate with clinical and technical team members.

• Currently enrolled in an undergraduate Health Sciences, Life Sciences, Computer Science, or related program.
• Strong interest in AI applications in medicine, radiation oncology, health informatics, or evidence synthesis.
• Proficiency with Python, Excel, and literature review platforms (e.g., Covidence, EndNote).
• Familiarity with data science methods, prompt engineering, or natural language processing is an asset.
• Excellent written and verbal communication skills, with attention to detail.
• Experience in conducting independent research and literature review.
• Ability to work proactively, independently, and as part of a multidisciplinary team.

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.

Vaccines (COVID and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known in advance. Any information received related to an accommodation will be addressed confidentially.

University Health Network thanks all applicants, however, only those selected for an interview will be contacted.

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.