Decision Scientist, Health System Modelling & Analytics

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 role at Ontario Health is an exciting opportunity to join the Data and Decision Sciences (DDS) team within Sector Planning and Capacity Optimization. This position focuses on Health System Modelling & Analytics and requires deep expertise in advanced analytical modeling and operations research to support health system insights and decision-making. As a Decision Scientist, you will leverage your strong foundation in mathematical programming, statistical modeling, forecasting, simulation modeling, and Machine Learning to develop evidence-based tools that inform strategic and operational decisions across the healthcare system. You will work collaboratively with clinical and business programs and senior leadership at Ontario Health, acting as a trusted advisor in advancing access, quality, sustainability, and patient experience across the province.

In this role, you will contribute to DDS-led initiatives by developing predictive and prescriptive models, supporting analytics efforts, and conducting statistical inference using observational data. You will also support or lead AI and Machine Learning projects, playing a key role in building models that uncover patterns, predict clinical and business outcomes, and recommend actions under a range of future scenarios. This is a unique opportunity to make a significant impact on the healthcare system and drive positive change for patients and providers alike.

Here is what you will be doing:

• Develop evidence-based tools using mathematical programming, statistical modeling, forecasting, simulation modeling, and Machine Learning.

• Collaborate with clinical and business programs and senior leadership to enhance access, quality, sustainability, and patient experience across Ontario.

• Lead and support AI and Machine Learning projects, building models that uncover patterns, predict outcomes, and recommend actions.

• Present analytical methods and actionable insights to diverse audiences, including technical teams, clinical experts, and senior leadership.

Key Responsibilities:

• Design and implement data analyses and modeling projects.

• Translate complex clinical and business questions into analytical frameworks.

• Develop data-driven solutions and deploy results for operational use.

• Build, validate, and refine models to evaluate planning and policy scenarios.

• Integrate data science products into broader decision science frameworks.

• Apply advanced machine learning and statistical techniques to support decision-making.

• Identify and implement emerging AI/ML approaches to enhance health system performance.

• Communicate complex data and insights using data visualization tools.

• Provide strategic, technical, and analytical guidance to colleagues and stakeholders.

• Build and maintain strong relationships with internal and external partners.

Here is what you will need to be successful: 

Education and Experience

• Master’s or PhD degree in Data Science, Operations Research, Operations Management, Applied Mathematics, or a related field; PhD preferred.

• Minimum of 4 years of experience designing, developing, and implementing analytical or operations research modeling solutions, preferably in a healthcare setting.

• Demonstrated experience with advanced modeling techniques including simulation, optimization, and forecasting to support decision-making.

• Proven track record of delivering practical, decision-support tools that are actively used in real-world health system contexts.

• Significant experience in working with, linking, and analyzing large and complex datasets.

• Proficiency in programming languages and tools including Python, R, and SQL is required.

• Experience leading large and complex analytical initiatives, ideally within provincial-level health system planning and resource allocation.

• Direct experience working with Ontario healthcare datasets (e.g., DAD, NACRS, NRS, CCRS, OHIP, WTIS, RPDB, clinical registries) is a strong asset.

• Experience in developing and applying machine learning and AI solutions (e.g., predictive modeling, clustering, natural language processing) is considered an asset.

Knowledge and Skills

•  Deep knowledge of advanced analytical methods including discrete event simulation, Monte Carlo simulation, forecasting, optimization, and statistical modeling.

• Understanding of machine learning algorithms and their application in healthcare analytics.

• Knowledge of Ontario’s healthcare system, including its organizational structure, data ecosystem, and planning processes.

• Excellent problem-solving and critical thinking skills, including the ability to tackle ambiguous and complex challenges.

• Strong attention to detail and commitment to producing high-quality, reliable work.

• Proven ability to work independently while also contributing effectively to cross-functional and collaborative team environments.

• Excellent oral and written communication skills, with the ability to convey complex analytical concepts to diverse audiences, including senior decision-makers.

Location: Ontario (currently hybrid; subject to change)

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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.