Quality Improvement and Decision Support Specialist

Carefirst Seniors & Community Services Association•Toronto, ON

13h•CA$70,000 - CA$80,000•Onsite

About The Position

Carefirst Seniors & Community Services Association is a non-profit charitable community services agency established since 1976. Our spectrum of services has grown from the delivery of Chinese meals-on-wheels service to a full range of community support services, covering the whole Greater Toronto Area. With a staff of more than 550 members (including full-time and part-time staff) and the help of a pool of 850 active volunteers, we serve over 15,000 clients a year, including seniors, adults, youth with physical, social, emotional and health challenges. 3,000 of whom are “home-bound” and frail. We are currently seeking a new position of Quality Improvement Decision Support Specialist (QIDSS) at our IT team.

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
Demonstrated experience in data quality for quality improvement, 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
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
Solid understanding of PHI, PHIPA, and confidentiality obligations in healthcare settings
Strong analytical and problem-solving skills with attention to detail
Proficiency in English

Nice To Haves

experience in primary care, population health, or community services is an asset
Experience with EMR-based reporting (e.g., TELUS PS Suite or equivalent Ontario EMR environments) is an asset.
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
Cantonese and Mandarin are assets
Current police vulnerable sector check completed within one year

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.