Software Engineer – AIML, Digital Pathology Image Management System (IMS)

Union: Non-Union
Number of vacancies:  1
New or Replacement Position: New
Site:  Toronto General Hospital
Department:  Lab Medicine Program
Reports to:  Principal Investigator
Salary Range:  $74114 to $111170 per annum
Hours: 37.5 hours per week
Shifts: Days
Status: Temporary Full-Time
Closing Date: May 11 2026

Position Summary

We are seeking a highly motivated AI/ML Software Engineer to lead the design and development of a next-generation Image Management System (IMS) for digital pathology. This platform will be built to operate in high-volume clinical environments and will be designed to integrate advanced AI algorithms developed within our Computational Pathology (CPath) program.

The successful candidate will play a key role in building a scalable secure and high-performance system comparable to leading platforms with a strong emphasis on usability interoperability and AI deployment readiness.

Duties

• Design develop and maintain a scalable IMS for digital pathology workflows and contribute to system architecture decisions documentation and best practices.
• Implement efficient handling storage and streaming of whole slide images (WSIs).
• Develop backend and frontend components to support high-throughput clinical usage.
• Integrate AI models into the platform for inference visualization and workflow augmentation.
• Ensure system compliance with healthcare data privacy and security standards.
• Optimize system performance for large-scale image datasets and concurrent users.
• Collaborate with pathologists researchers and data scientists to refine system requirements.
• Implement APIs for interoperability with existing hospital systems (e.g. LIS PACS).

Qualifications :

• Bachelors or Masters degree in Computer Science Software Engineering or a related field.
• Strong proficiency in one or more programming languages (e.g. Python Java C).
• Experience with web application development (e.g. React Angular or similar frameworks).
• Familiarity with backend frameworks (e.g. Django Flask ).
• Experience working with databases (SQL and/or NoSQL).
• Knowledge of cloud platforms (e.g. AWS Azure or GCP) and containerization (Docker Kubernetes).
• Experience handling large-scale image data or similar high-volume data systems.
• Strong problem-solving skills and ability to work in a collaborative environment.

Additional Information :

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 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 UHNs 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.

Remote Work :

No

Employment Type :

Full-time