Technical Specialist, Cogito Reporting

University Health Network; Toronto; On-site; CAD 63,000 - 95,000; Full time

Benefits offered by this job

Government benefits with HOOPP

Transit access and UHN shuttle

Flexible work environment

Development opportunities

Job summary

University Health Network (UHN) is seeking a Technical Specialist for Cogito reporting, focusing on integrating AI and cognitive computing into Epic-based dashboards and reports. You will collaborate with BI Analysts, data engineers, and clinical teams to deliver sophisticated data content.

Responsibilities include building Cogito content with SQL on Clarity and Caboodle, validating models, and maintaining security and metadata.

Qualifications

• Undergraduate degree in Health Informatics, Computer Science, Epidemiology, Industrial Engineering, Business Analytics, or equivalent; Master’s degree preferred.
• 5+ years of BI/Data Analytics reporting experience.
• Knowledge of UHN systems, end-user workflows, and Ontario healthcare reporting requirements is preferred.
• Familiarity with Epic application and database structure and Epic Cogito is preferred.

Responsibilities

• Understand Cogito content requirements with stakeholders and end-users.
• Lead Cogito projects on the Data & Analytics roadmap.
• Build Cogito content (in SQL) using Clarity and Caboodle databases.
• Develop and validate AI and Cognitive Computing models in Epic reporting content.
• Create SlicerDicer filters and sessions using Caboodle.
• Develop Cogito dashboards and SQL reporting workbench.
• Review upgrade docs and perform Cogito build tasks.
• Ensure Cogito content is valid across POC, TST, and PRD environments.
• Prepare internal/client documentation (SRS/PRD).
• Maintain Epic Analytics Catalog and metadata records.

Skills

SQL

Python

Epic Cogito

BI Reporting

Data Analytics

Communication

Education

Undergraduate degree or equivalent

Master’s degree preferred

Tools

Epic Cogito

Clarity database

Caboodle database

SlicerDicer

Job 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
Number of Vacancies:1
New or Replacement Position:Replacement
Site:Toronto General Hospital
Department:Cogito Reporting
Reports to:Senior Manager
Salary:$45.74 to $68.62 per hour
Status:Permanent Full-Time
Closing Date:September 17, 2026

Position Summary

Cogito is Epic’s suite of data analytics and reporting tools. The Technical Specialist work closely with other Cogito Business Intelligence (BI) Analyst and Developer, Data Engineers, Clinical/SME teams and Other Epic Application Team, this position is responsible to create Epic Cogito reporting content, mainly focusing on integrating AI and cognitive computing models, customized dashboards, complex reporting workbench and SlicerDicer custom filters, based on end-user specifications.

This role will possess a diverse skill set including SQL, Epic Clarity database and Caboodle database, excellent communication and interpersonal skills, as well as a background in data & analytics within a hospital environment.

Here’s what you get to do

• Work closely with stakeholders, subject matter experts, and end-users to understand the Cogito reporting content requirements, and analyze the needs of data consumers;
• Lead complex Epic’s Cogito projects on the Data & Analytics roadmap
• Build Epic’s Cogito reporting content (in SQL) using Epic’s reporting databases – Clarity and Caboodle;
• Develop, test and validate AI and Cognitive Computing models into Epic reporting content;
• Develop Cogito SlicerDicer custom filters and sessions using Epic’s Caboodle database;
• Build Cogito Reporting workbench by building rules and PAFs
• Develop custom Cogito radar dashboards and custom SQL reporting workbench
• Review Epic upgrade and special update documentation and proceed with relevant Cogito build tasks;
• Responsible all Cogito reporting content in Proof of Concept (POC), Testing (TST) and Production (PRD) environments;
• Provide professional internal and client-facing documentation (SRS - System Requirement Specifications, PRD - Business Requirements Documentation, etc.);
• Review peer reports for validity, accuracy and completeness;
• Develop, modify and maintain the Epic Analytics Catalog and associated metadata records;
• Design, implement, and maintain an enterprise-wide reporting security policy;
• Assist and provide training to end-users
• Resolve Epic reporting content and user access issues;
• Develop alternative reporting solutions when Epic reporting tools cannot fulfill;

• Undergraduate Degree in Health Informatics, Computer Science, Epidemiology, Industrial Engineering, Business Analytics, or equivalent; Master’s degree preferred
• A minimum 5+ years of experience in building/developing, testing, and deployment of Business Intelligence and Data Analytics reporting tools.
• In-depth knowledge of UHN’s system build, end user workflows, and patterns of use strongly preferred.
• Knowledge of clinical and business workflows and data in a Canadian healthcare setting.
• Knowledge of Ontario healthcare clinical and financial reporting requirements is required.
• Familiarity with Epic application and database structure.
• Experience working with the Epic EMR system.
• Proficiency with Python required.
• Proficiency with SQL and relational database concepts.
• Proficiency and demonstrated experience with analytics tools.
• Ability to understand data structures.
• Experience in a large IT clinical transformation within a healthcare setting.
• Certification in Epic Cogito preferred;
• Strong communication and organizational skills
• Critical thinking and an analytical mind
• Technical skills required to design and write reports
• Ability to lead requirements gathering sessions, document user requirements and translate them into useful solutions;
• Ability to translate end-user workflow-based report requests to specific data points required for report development;
• Ability to analyze data, problem-solve, and clearly communicate solutions to both technical and non-technical stakeholders;
• Ability to effectively work both independently and in a team-oriented environment;
• Ability to learn in a self-directed, fast-paced, rapidly-changing environment;
• Ability to take ownership of work activities, ensuring that they are completed accurately, efficiently, and in a timely manner;
• Ability to gain an in-depth understanding of Epic data models through data model classes geared toward content areas

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.

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.