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Quality Improvement and Decision Support Specialist

Job in Toronto, Ontario, C6A, Canada
Listing for: Carefirst Seniors u0026 Community Services Association
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 70000 - 80000 CAD Yearly CAD 70000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Quality Improvement and Decision Support Specialist )

Terms

Full Time, Permanent.

Location:

300 Silver Star Blvd.

Pay Range

$70,000 – $80,000 annually.

Essential Duties and Responsibilities
  • Gather, clean, review, and analyze data from EMR, operational, and administrative systems to support quality improvement, program planning, clinical and leadership decision‑making.
  • Develop reports, dashboards, and data visualizations that translate raw data into clear insights for clinical and non‑technical audiences.
  • Work with leadership, interprofessional teams, and Carefirst’s system partners to define data needs, identify gaps, and establish indicators for program monitoring and outcome measurement.
  • Support the exploration, evaluation, and piloting of AI tools and projects that improve office operations—including documentation, meeting support, knowledge management, and internal communications.
  • Support AI‑enabled program development by helping program teams identify how AI can enhance program design, delivery, and client experience.
  • Collaborate with program managers and external vendors to test and implement AI solutions safely, effectively, and in alignment with organizational priorities.
  • Maintain clear documentation of data processes, analyses, AI pilots, and project outcomes.
  • Apply strong understanding of Personal Health Information (PHI), PHIPA, and confidentiality principles to all aspects of work.
  • Other duties and projects as assigned.
Qualifications &

Job Requirements
  • Post‑secondary degree or diploma in Data Science, Health Informatics, Data Analytics, Statistics, Epidemiology, Information Technology, Computer Science, or a related discipline.
  • Minimum of two (2) years of relevant experience in data analysis, artificial intelligence, health informatics, or a similar role.
  • Experience in primary care, population health, or community services is an asset.
  • Demonstrated experience in data quality for quality improvement and clinical information management best practices.
  • Strong data analysis skills, including comfort working with structured data, writing queries, and building reports and dashboards.
  • Working knowledge of tools such as Excel (advanced), SQL, Power BI, Tableau, or equivalent reporting platforms.
  • Experience with EMR‑based reporting (e.g., TELUS PS Suite or equivalent Ontario EMR environments) is an asset.
  • Working knowledge of AI fundamentals, including core concepts in machine learning and data science (supervised vs. unsupervised learning, training vs. inference, model evaluation, and the limitations and risks of AI).
  • Hands‑on experience using general‑purpose AI assistants (e.g., Claude, ChatGPT, Microsoft Copilot) for drafting, summarizing, research, and analysis, with practical understanding of effective prompting and review of AI‑generated output.
  • Familiarity with AI project tools such as Claude Code (for scripting and automation), Synthesia (AI video), and Wix or similar AI‑assisted web platforms is an asset.
  • Solid understanding of PHI, PHIPA, and confidentiality obligations in healthcare settings.
  • Solid analytical and problem‑solving skills with attention to detail.
  • Proficiency in English (Cantonese and Mandarin are assets).
  • Current police vulnerable sector check completed within one year.
Benefits
  • Dental Care
  • Extended Health Care
  • RRSP match
  • Comprehensive Orientation Program
  • Training and Education Subsidy

Carefirst is an equal opportunity employer. We are also committed to an environment that is barrier free. If you require accommodation during the hiring process, please inform us in advance to arrange a reasonable and appropriate accommodation.

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