Health Equity Analyst, Analytics Lead
4 weeks ago
The Canadian Partnership Against Cancer Corporation is seeking a highly skilled Health Equity Analyst, Analytics Lead to join our team. As a key member of our Cancer Systems and Innovation Division, you will play a critical role in driving improvements in Canada's cancer system through data, research, and economic modeling. Your expertise in health equity and analytics will inform system quality improvement initiatives and monitor the Partnership's organizational performance.
Key Responsibilities
- Lead equity-focused analytic projects and provide analytical expertise in planning, analyzing, interpreting results, and advising on data limitations analyses related to priority populations.
- Facilitate technical conversations with jurisdictional and federal partners on equity-focused topics related to measurement and reporting.
- Identify organizations representing equity-deserving populations and lead engagements to advance equity measurement and reporting.
- Develop equity-focused content to inform decision-making.
- Conduct equity-focused analyses using large, linked population health data available at the Toronto Research Data Centre.
- Work with data custodians to procure data and ensure high data quality.
- Collaborate with internal program areas and external partners to integrate an equity-focused lens in their approaches to measurement, monitoring, and evaluation.
- Stay up-to-date with current cancer data holdings and trends in health care and cancer control in Canada and internationally.
Requirements
- University Master's degree in Epidemiology, Biostatistics, Health Policy & Equity, Public Health, or other relevant discipline.
- A minimum of 5 years' proven experience working with Canadian health data, conducting analyses, and providing interpretation of results.
- Experience researching, conceptualizing, and writing knowledge products aimed at both policy and research audiences.
- Experience working in the health equity space, leading equity-focused analyses, and interpreting data.
- Intermediate proficiency in Excel and SAS, R, or Python.
- Experience translating complex technical content and presenting to various audiences.
What We Offer
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
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