Pour obtenir une traduction en français de l’offre d’emploi suivante, veuillez envoyer un courriel à
careers@ontariohealth.ca
. Les demandes seront traitées dans un délai de trois jours ouvrables et la période de dépôt des demandes sera prolongée de trois jours.
To obtain a French translation of the following job posting, please email
careers@ontariohealth.ca
. Requests will be addressed within three business days, and the application window will be extended by three business days.
At Ontario Health, we are committed to developing a strong organizational culture that connects and inspires all team members across the province. Our vision is that together, we will be a leader in health and wellness for all. Our mission is to connect the health system to drive improved and equitable health outcomes, experiences and value. How we work together is reflected through our five values: integrity, inspiration, tenacity, humility and care.
What Ontario Health offers:

Achieving your career goals is a priority to us. Benefits of working at Ontario Health may include the following based on employment type:

• Fully paid medical, dental and vision coverage from your first day
• a health care spending or wellness spending account
• a premium defined benefit pension plan
• three personal days and two float days annually
• three weeks’ vacation to start (for individual contributors), increasing to four weeks after two years
• career development opportunities
• a collaborative values-based team culture
• a wellness program
• a hybrid working model
• participation in

Communities of Inclusion
Want to make a difference in your career? Consider this opportunity.
Are you passionate about making a difference in the mental health and addictions sector? Ontario Health is looking for a talented Decision Scientist to join our Mental Health and Addictions Centre of Excellence (MHA CoE). This is a unique opportunity to lead high-impact projects and contribute to the improvement of healthcare systems.

Here is what you will be doing:

• Advanced Analytics: Utilize your expertise in advanced statistical modeling, predictive modeling, demand forecasting, and statistical inference to guide strategic planning.
• Collaborative Environment: Work closely with cross-functional teams and build strong relationships with internal and external stakeholders.
• Knowledge Sharing: Enhance Ontario Health’s analytics brand through external publications and presentations, and participate in knowledge-sharing activities.
• Impactful Work: Lead mission-critical initiatives that advance care within the Mental Health and Addiction care systems.
• Strategic Influence: Serve as a trusted advisor, aiding in strategic decision-making to improve access, quality, and sustainability within the healthcare system.
• Innovative Projects: Design and execute data analyses and modeling tasks to identify key issues, develop analytic tools for resource allocation, conduct capacity planning, and measure the impact of various initiatives

Key Responsibilities:

• Lead the design and implementation of high-quality data analyses and modeling.
• Translate analytical results into meaningful, actionable insights through reports, briefing notes, and presentations.
• Conduct geospatial and catchment area analyses to identify underserved areas and optimize the location of mental health services.
• Develop models and tools to inform planning decisions based on various inputs such as travel distance, provider volumes, and forecast demand.

Here is what you will need to be successful:

Education and Experience

• Master’s degree (PhD preferred) in Epidemiology, Health Services Research, Statistics, Biostatistics, Health Informatics, Computer Science, or recognized equivalent or combination of education and work experience is required.
• Minimum five years work experience or combination of work/education experience in quantitative epidemiological or health services research analyses, with similar involvement in leading, designing, implementing, and analyzing quantitative, mixed methods, or evaluation projects.
• Experience coding in programming/statistical languages of SAS,SQL, R, and Python is required. Experience in geospatial mapping and analysis.
• Experience with national and provincial healthcare administrative and clinical datasets including DAD, NACRS , NRS, CCRS, OHIP, clinical registries, and RPDB.
• Experience in statistical modelling or advanced analytics (e.g., regression analysis, survival analysis, cluster analysis, longitudinal analysis, principal component analysis, and factor analysis).
• Demonstrated experience leading large, complex initiatives, ideally at the provincial level in health system planning and allocation.
• Ability to interpret measures of effect (e.g., odds ratios, hazard ratios, risk ratios, etc.) in the appropriate context and to inform actionable insights.

Knowledge and Skills

• An understanding of Ontario’s health care system with particular emphasis on measurement principles.
• Strong understanding of the mental health and addiction sector and experience in a healthcare system environment.
• Experience with common healthcare key performance, quality and funding indicators are an asset.
• Experience managing multiple, complex projects, allocating resources, and negotiating timelines.
• Strong relationship building skills, with demonstrated experience engaging and building consensus amongst diverse stakeholders.
• Excellent communication skills including the ability to interpret and synthesize research and technical information, prepare briefing notes, reports, policy documents & deliver effective presentations.
• Demonstrated ability to work independently in a self-directed manner with minimal supervision.
• Ability to work well under pressure and use good judgment in assessing difficult situations.
• Comfortable working in a dynamic fast-paced environment with a degree of uncertainty or ambiguity
• Excellent organization and time management skills.
• Experience leading meetings, presenting statistical proposals, methods, analyses, results and interpretation.
• Motivated to achieve high quality work with attention to detail.

Location:
Toronto, Ontario (currently hybrid; subject to change)
Employment Type:
Permanent Full time
Contract Length:
N/A
Salary Band:
Band 6
External Application Deadline Date:
July 10, 2025
All applicants must be a resident of Ontario to be considered for roles at Ontario Health.
Ontario Health encourages applications from candidates who are First Nations, Métis, Inuit, and urban Indigenous; Francophone; members of Black and racialized groups; 2SLGBTQIA+ communities; trans and nonbinary individuals; and people living with disabilities.
Ontario Health is an accessible employer, and we offer accommodation in all aspects of employment, including the recruitment process. If you require a disability related accommodation in order to participate in the recruitment process, please email
careers@ontariohealth.ca
and a member of the team will connect with you within 48 hours.

Here is what you will be doing:

• Advanced Analytics: Utilize your expertise in advanced statistical modeling, predictive modeling, demand forecasting, and statistical inference to guide strategic planning.
• Collaborative Environment: Work closely with cross-functional teams and build strong relationships with internal and external stakeholders.
• Knowledge Sharing: Enhance Ontario Health’s analytics brand through external publications and presentations, and participate in knowledge-sharing activities.
• Impactful Work: Lead mission-critical initiatives that advance care within the Mental Health and Addiction care systems.
• Strategic Influence: Serve as a trusted advisor, aiding in strategic decision-making to improve access, quality, and sustainability within the healthcare system.
• Innovative Projects: Design and execute data analyses and modeling tasks to identify key issues, develop analytic tools for resource allocation, conduct capacity planning, and measure the impact of various initiative

Key Responsibilities:

• Lead the design and implementation of high-quality data analyses and modeling.
• Translate analytical results into meaningful, actionable insights through reports, briefing notes, and presentations.
• Conduct geospatial and catchment area analyses to identify underserved areas and optimize the location of mental health services.
• Develop models and tools to inform planning decisions based on various inputs such as travel distance, provider volumes, and forecast demand