Shape health outcomes with your quantitative expertise as a Research Associate in Toronto. This hybrid role emphasizes statistical analysis in a team-oriented research workplace.
This 8-month hybrid contract with a respected health policy organization allows you to lead quantitative research initiatives and support evidence-based decision-making. You will engage in mixed methods studies, applying statistical methods such as regression analysis using tools like R/RStudio or SPSS. Your contributions will significantly impact public policy and health planning in Ontario.
Key Responsibilities:
• Lead quantitative analyses using large population-level datasets
• Apply statistical methods, including regression analysis
• Integrate quantitative findings with qualitative research evidence




• Conduct literature reviews and support policy development
• Translate findings into reports and visual presentations
Requirements:
• 3+ years of research experience with a Master’s degree
• Robust quantitative skills in statistical analysis and data management
• Proficiency in R/RStudio; SPSS experience welcomed
• Familiarity with mixed methods and health equity concepts
• Excellent communication of complex findings
Bring your quantitative research skills and passion for health equity to make a true difference in Ontario.
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📌 Hybrid Quantitative Research Associate In Toronto
🏢 Altis Technology
📍 Toronto