Job Description

Your Opportunity:
Join us in establishing the Stollery Centre for Excellence in Virtual Health, a dynamic initiative leading innovation and integration of safe, appropriate, and patient-centered virtual care across the pediatric patient journey - both locally and within rural, remote, and Indigenous communities throughout Alberta. As a Data & Evaluation Consultant, you will directly support groundbreaking projects shaping the future of pediatric virtual healthcare. Embedded within two innovative, multidisciplinary teams, you will leverage Alberta's exceptional healthcare data assets. Your analyses will clarify and quantify how virtual health initiatives enhance patient access, experiences, and outcomes. Through thoughtful data collection, analytics, and compelling storytelling, you will produce actionable insights directly influencing clinical workflows, operational strategies, and health policies. If you are seeking a career-accelerating role alongside teams at the forefront of analytics and AI/ML deployment at AHS - if you want your contributions to visibly advance pediatric healthcare innovation - this role offers high-impact, high-visibility opportunities.
Description:
As the Data & Evaluation Consultant, you will play a key role supporting research, evaluation, and analytics initiatives at SCEVH. You will translate clinical and operational questions into practical evaluation plans, mixed-method studies, and analytics solutions. Responsibilities include designing effective data collection strategies, managing primary data collection processes, and extracting and integrating diverse datasets (primarily via Snowflake). Applying both quantitative and qualitative methods, you will build dashboards and interactive visualizations in Tableau, clearly communicating findings to clinical leaders, operational teams, and senior decision-makers. Collaborating closely with clinical, operational, and community stakeholders, you will implement evaluation frameworks, deliver timely analyses, and actively support knowledge translation activities. Your proactive mindset, collaborative approach, and passion for continuous learning will position you to significantly contribute to -and grow alongside- teams shaping pediatric healthcare innovation in Alberta.

• Acute Care Alberta: N
• Primary Care Alberta: N
• Recovery Alberta: N
• Classification: Coordinator
• Union: Exempt
• Unit and Program: The Stollery Centre for Excellence in Virtual Health
• Primary Location: Stollery Children's Hospital
• Location Details: As Per Location
• Temporary Employee Class: Temp F/T Benefits
• FTE: 1.00
• Posting End Date: 06-JUN-2025
• Date Available: 02-JUL-2025
• Temporary End Date: 01-SEP-2026
• Hours per Shift: 7.75
• Length of Shift in weeks: 2
• Shifts per cycle: 10
• Shift Pattern: Days, Evenings, Weekends
• Days Off: Saturday/Sunday
• Minimum Salary: $25.02
• Maximum Salary: $41.71
• Vehicle Requirement: Not Applicable

Required Qualifications:
Bachelor's degree in a quantitative discipline (e.g., data science, computer science, health informatics, epidemiology, biostatistics, public health). Minimum two years' experience supporting data analysis, evaluation, or quality-improvement projects within healthcare or a related field. Demonstrated proficiency using SQL and Python or R, along with Tableau, to analyze, interpret, and visualize complex healthcare data. Ability to create clear, concise visualizations and summaries effectively communicating insights to clinical, operational, and executive audiences. Solid foundational knowledge of statistical methods, survey design, qualitative analysis, and mixed-method evaluation approaches. Proven ability to independently manage multiple concurrent projects, adapt effectively to shifting priorities, and reliably meet deadlines. Additional Required Qualifications:
As required. Preferred Qualifications:
Master's degree in statistics, computer science, management analytics (MMA), artificial intelligence (MMAI), public health, or related discipline. Experience/interest in applying advanced analytics, AI, or machine-learning methodologies in healthcare, using Snowflake or Azure platforms. Familiarity with Alberta's healthcare data systems or similar healthcare databases. Demonstrated success translating analytical insights into operational improvements or strategic recommendations.