Student, Admin Support (Research)

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: October 16, 2026 (repost)

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.

Requirements

• 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?

• 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.

Criminal Record Check

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.

Equal Opportunity Employer

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.

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