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
Number of vacancies: 1
New or Replacement Position: New
Site: Princess Margaret Research Institute
Department: Research
Reports to: Scientist
Salary: $17.95 per hour
Hours: Casual
Shifts: Monday - Friday
Status: Temporary Casual (1 year contract)
Closing Date: September 15, 2026

Position Summary

A collaborative research team is seeking an enthusiastic and motivated student to support AI-enabled antibody development and drug discovery. The successful candidate will play a primarily computational role, contributing to the development and application of artificial intelligence methods for antibody design, optimization, data analysis, and therapeutic candidate discovery. This position will involve close collaboration with two Principal Investigators, Dr. Hattori and Dr. Ma, as well as experimental team members.

Duties

• Support AI-enabled antibody development and drug discovery projects through computational analysis, PyTorch programming, and data-driven research approaches.
• Maintain accurate and organized documentation of code, datasets, analyses, workflows, and research findings.
• Collaborate effectively with computational and experimental team members.
• Apply foundational technical and computational skills to perform well-defined AI, data analysis, and research-related tasks.
• Interact primarily with immediate supervisors and other laboratory team members.
• Work under close supervision and follow specific, detailed instructions.

• Must be enrolled at an academic institution and pursuing a degree or diploma (e.g. undergraduate, graduate, or medical degrees, or high school or college diplomas)
• 3 months of related experience.
• Demonstrated programming skills in Python and PyTorch.
• Foundational technical and computational skills relevant to AI, data analysis, and research activities.
• Ability to communicate effectively in writing and verbally.
• Ability to work effectively under close supervision and follow detailed instructions.
• Demonstrated self-motivation and willingness to learn.
• Applicants are requested to include a link to their GitHub profile or GitHub homepage in their CV.

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. At University Health Network (UHN), artificial intelligence technologies may be used to assist in the screening, assessment, and selection of candidates for this position.

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.