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EH&S Manager
Johnson & Johnson Innovative Medicine
Markham, ON
- Full-time
The Environmental, Health & Safety (EHS) Manager provides strategic and technical leadership for assigned operations in Ontario and other designated locations in the Commercial Operations…
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Bilingual Account specialist, High Value at Risk (HVAR)
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Bilingual Account specialist, High Value at Risk (HVAR)
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Account specialist, High Value at Risk (HVAR)
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Finance Officer
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- $82,000 to $95,000 CAD / year
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Financial Controller
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CAMH

Research Methods Specialist - Education Evaluation

1001 Queen Street West, Toronto, ON, M6J 1H4, Canada

Salary Range: $42.67 – $57.55 per hour

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Job details

Pay: Salary Range: $42.67 – $57.55 per hour
Apply by: Nov 13, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Education at CAMH is seeking a full-time, temporary (until April 30, 2027) Research Method Specialist (RMS) to support evaluation research and quality improvement. The RMS will report to the Manager Education Evaluation and Quality Improvement and will work with diverse stakeholders, including staff, partners, families and patients will support the development and implementation of evaluation and data projects utilizing evidence-based evaluation approaches, frameworks and metrics.

Responsibilities

The Research Methods Specialists will build and implement evaluation plans for community-based and system change initiatives, using a variety of different evaluation tools (such as logic models, theories of change, evaluation frameworks, data support systems and monitoring reporting tools).

The incumbents will also have experience using a variety of evaluation approaches, such as developmental, empowerment, formative, and summative evaluation.

In particular, the RMS will work to design rigorous evaluations constructs to measures and track the progress of Collaborative Learning College (CLC) using both quantitative and qualitative methodologies. Using principles of co-production, the work will include to develop evidence-based measures, conduct scoping reviews, and collect, analyze & disseminate process and outcome data through surveys, focus groups, and other methods in consultation with CLC stakeholders. The RMS will also be involved in supporting the development of a single database for all education evaluation data, conducting natural language processing and artificial intelligence informed algorithms, conducting predictive modelling and using similar data science techniques/ models to measure broader education outcomes for quality improvement, communication and dissemination.

This position offers an exciting opportunity for a highly motivated, organized and hard-working individual with strong research/evaluation, interpersonal and communication skills, especially in advanced quantitative analytical skills who can work independently and within a team as required. This position is located at 1025 Queen Street West.

Qualifications

The successful candidate will have an Honors Bachelor’s degree in a relevant discipline including social or behavioural sciences, Health Informatics, Public Health, psychometric or a related social science degree, combined with 5 years of relevant experience. Research or evaluation experience in a health sciences or education research environment is required. Experience in coordinating and analyzing big data using R or Python is essential, including experience in algorithm development, construction of validated scales, database management and the use of machine learning. Knowledge and understanding of qualitative and quantitative research methods is required. The candidate will have excellent communication(oral and written), creative problem-solving abilities and organizational skills. The ability to manage and adapt to diverse work environments and conditions is essential. Candidates require the ability to work effectively with individuals from diverse backgrounds. Bilingualism (French/English) or proficiency in a second language would be an asset.

Salary Range: $42.67 – $57.55 per hour

If you are interested in this position, please ensure that you apply before 5pm EST of the closing date. If your application is received past 5pm EST of the closing date, your application will not be accepted.

CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto. As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital.

CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.

CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.

We welcome applicants from all backgrounds. Thank you to all who apply; however, only those selected for an interview will be contacted. If you require accommodations during the application or recruitment process, please let us know.

Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change. CAMH is more than a hospital, it is a cause. CAMH is on a mission to change the way society thinks about and responds to mental illness. They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system – a world where Mental Health is Health.

To learn more about CAMH, please visit their website at: www.camh.ca.

To view our Land Acknowledgment, please click here.

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More about this job

Responsibilities

Develop and implement evaluation plans for community-based and system-change initiatives, including rigorous mixed-method evaluations of the Collaborative Learning College. Build evidence-based measures, conduct reviews, collect and analyze data, and support a shared education evaluation database and data science methods to assess outcomes and inform quality improvement.

Requirements

Requires an honors bachelor's degree in a relevant discipline and five years of relevant experience, including research or evaluation experience in health sciences or education. Candidates must have experience using R or Python for big data, algorithm development, validated scales, database management, and machine learning, along with knowledge of qualitative and quantitative methods and strong communication and organizational skills.

Skills

Evaluation Research
Quality Improvement
Quantitative Analysis
Qualitative Research
R
Python
Big Data Analysis
Algorithm Development
Machine Learning
Predictive Modeling
Database Management
Scale Validation
Scoping Reviews
Data Collection and Analysis
Communication
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Education Evaluation
Quality Improvement
Evaluation Plans
Logic Models
Theory Of Change
Evaluation Frameworks
Developmental Evaluation
Empowerment Evaluation
Formative Evaluation
Summative Evaluation
Collaborative Learning College
Co-production
Scoping Reviews
Quantitative Methods
Qualitative Methods
Surveys
Focus Groups
Process And Outcome Data
R
Python
Big Data
Algorithm Development
Validated Scales
Database Management
Machine Learning
Natural Language Processing
Artificial Intelligence
Predictive Modeling
Data Science

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