Decision Scientist, Quality Measurement and Evaluation

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.   

The Decision Scientist will be part of the Population Health Data Strategy and Implementation Team within Primary and Community-Based Care (PCBC) to produce high-quality, actionable measurement frameworks and analyses for quality improvement, health system planning, and performance management and reporting to improve patient outcomes, provider experience and value and equity in the health care system. As a subject matter expert, the Decision Scientist leads the creation of measurement plans, develops methods, assesses and addresses data availability and data quality issues, and produces reporting products. The Decision Scientist ensures methods meet the purpose-specific standards and works with programs within the portfolio and across the organization to make best use of data and analytics to answer important health care questions to improve health outcomes across Ontario. This role requires excellent knowledge of statistical and epidemiological methods, principles of quality improvement and performance measurement, and in-depth knowledge of healthcare data holdings.

This role will primarily support the Ontario Palliative Care Network in expanding access to quality palliative care in Ontario, and will also contribute to other PCBC measurement initiatives focused on primary care and Ontario Health Teams (OHTs).

Here is what you will be doing:

Leadership

• Provides subject matter expertise for PCBC and the organization in measurement and evaluation methods in the clinical context.

• Leads the development and execution of measurement strategies that inform and evaluate strategic goals within PCBC and across the organization, through facilitating discussions and building consensus among diverse stakeholders with varying degrees of technical and subject matter expertise.

• Develops logic models and/or program theories of change to describe the scope and impact of complex programs/initiatives and to ensure measurement approaches are integrated and connected between programs/initiatives across the organization.

• Creates program/project-specific measurement plans, evaluation plans and develops corresponding indicators. 

• Establishes and leads working groups and committees of senior leaders and decision-makers, clinicians, external partners, and other stakeholders to inform and execute measurement strategies, analyses and reporting.

• Considers the full complement of quantitative and qualitative methods and makes and justifies decisions on the combination of methods that will provide the information required for strategic decision making, while also considering pragmatic choices and resources.

Subject Matter Expertise

• Designs high quality rigorous analyses, translates analytical results into meaningful and actionable information; produces reports, briefing notes, presentations; participates in knowledge transfer to all levels of the organization.

• Applies and establishes best practice analytic methods and develops and validates new applied research methods as required.

Program Operations

• Manages multiple projects of varying complexities, develops project plans and determines timelines, resource requirements, risks and impact.

• Identifies, manages, and escalates risks and issues as needed.

• Proactively identifies and implements quality improvement activities in the program.

• Manages intake and scheduling of new projects in consultation with the Senior Decision Scientist and other team members

• Contributes to the assessment and improvement of team culture and employee engagement.

• Facilitates and participates in knowledge sharing activities within Ontario Health and externally with academic and non-academic audiences.

• Builds capacity and provides coaching, mentoring and thought leadership to the organization.

• Works collaboratively with Digital Excellence in Health, Legal and Privacy, Enterprise Data and Analytics, Procurement and others to acquire new software, data collection tools, and technologies that meet our expanding analytic needs while ensuring they meet Ontario Health’s standard for security and data protection.

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 and SQL is required.

• Experience coding in R or Python is an asset.

• Experience with national and provincial healthcare administrative and clinical datasets including the Discharge Abstract Database (DAD), National Ambulatory Care Reporting System (NACRS) and Ontario Health Insurance Plan (OHIP) billing

• Experience in statistical modelling or advanced analytics (e.g., regression analysis, survival analysis, cluster analysis, longitudinal analysis, principal component analysis, and factor analysis).

• Ability to interpret measures of effect (e.g., odds ratios, hazard ratios, risk ratios, etc.) in the appropriate context and to inform actionable insights.

• Experience in palliative care in an asset.

Knowledge and Skills

• An understanding of Ontario’s health care system with particular emphasis on measurement principles.

• Experience with common healthcare key performance, quality and funding indicators 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 interpreting and synthesizing 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.

• Strong problem solving and critical thinking skills; able to develop options, recommendations, and assess risks.

• Team player who values collaboration.

#LI-hybrid
#OH-IND-DIG

Employment Type: Temporary Full time (12 month contract)

Employment Type:

Temporary + (Fixed Term) Full time

Contract Length:

11 Month(s)

Salary Band:

Band 6

External Application Deadline Date:

March 23, 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.