Casual (up to 10 hrs per week), Bayview Campus

About the Project

The Digital Navigation Project for Colon Cancer Screening aims to streamline access to timely colonoscopy for patients with a positive FIT (fecal immunochemical test) result. This initiative will design and implement a digital solution to allow patients to self-schedule colonoscopy appointments through a secure, integrated platform, starting with a pilot at Sunnybrook.

Position Summary

We are seeking a skilled and detail-oriented computer programmer to support the design and development of a patient-facing booking platform using an existing eReferral system. The ideal candidate will work closely with a multidisciplinary team, including physicians, researchers, and administrators to ensure seamless integration with existing electronic medical records/hospital information systems (e.g., Accuro, OR Manager) and provide a user-friendly, secure, and adaptable interface for patients and clinical staff.

Key Responsibilities

• Design, develop, and test the supplementary programming for the existing eReferral system to support a patient-facing option to book colonoscopy appointments for FIT-positive persons.

• Integrate the booking tool with existing clinical systems (e.g., Accuro, OR Manager).

• Enable key platform features such as:

  • Appointment slot selection within specified timeframes
  • SMS/email notifications and reminders
  • Automated workflows based on patient eligibility and response
  • Options for cancellation, rescheduling, and returning to conventional navigation

• Collaborate with project leads and coordinator to define workflow requirements and timelines.

• Provide technical troubleshooting and support during pilot implementation.

• Document system functionality and contribute to training resources as needed.

Qualifications/Skills

• Bachelor's degree or higher completed or in progress in a relevant field.
• Demonstrated experience with web-based health applications or digital health systems.
• Familiarity with the OCEAN Platform or willingness to rapidly learn and adapt.
• Knowledge of EMR systems (e.g., Accuro or ORM) is a strong asset.
• Strong problem-solving, communication, and collaborative skills.
• Ability to work independently and manage deliverables to meet project milestones.

Please submit your resume, a cover letter outlining your interest in the role.

We thank all applicants for their interest but only candidates short-listed for interview will be contacted.

Sunnybrook Research Institute is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.

Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, LGBTQAI2S+ persons, and all others who may contribute to the further diversification of ideas.