Research Officer (1-year Term)

University of Toronto; Toronto; On-site; CAD 64,000 - 82,000; Full time

Job summary

University of Toronto's Faculty of Kinesiology & Physical Education seeks a Research Officer (1-year term) to support analysis of quantitative health data and machine learning applications. The role collaborates with a multidisciplinary team and advances externally funded research on child health.

Responsibilities include data processing, maintaining databases, performing analyses, and preparing summaries and reports for dissemination.

Qualifications

• Bachelor’s degree in statistics, biostatistics, data science, computer science, health sciences or related field.
• Experience with quantitative data cleaning, organization, processing and analysis.
• Experience using R or Python for data management, analysis and quality checks.
• Experience conducting quantitative analyses and producing summaries, tables, figures or reports.
• Experience in a research environment handling datasets and collaboration.
• Experience coordinating meetings and documenting action items.
• Experience preparing written summaries of results.
• Strong data management, analysis skills and attention to data quality.

Responsibilities

• Implement qualitative and/or quantitative research methods.
• Analyze data and code research data.
• Maintain databases and organize data into analyzable formats.
• Generate reports and draft presentation materials.
• Draft summaries of research project results.

Skills

Quantitative data analysis

Data management

Data cleaning

Statistical methods

Machine learning basics

R/Python proficiency

Documentation & reporting

Collaboration

Education

Bachelor's degree in statistics or related field

Tools

R

Python

Job description

Research Officer (1-year Term)

Date Posted: 09/03/2026
Req ID: 50077
Faculty/Division: Faculty of Kinesiology & Physical Education
Department: Faculty of Kinesiology & Physical Education
Campus: St. George (Downtown Toronto)
Position Number: 00060024
Existing Vacancy: Yes

About us:

The University of Toronto’s Faculty of Kinesiology and Physical Education is globally recognized for developing and advancing knowledge about the interactions of physical activity and health through outstanding undergraduate and graduate education programs, cutting-edge research and the delivery of sport, recreation and high performance athletic opportunities for students, staff, faculty and community members across the three campuses. In achieving this vision, the Faculty is guided by values of integrity, respect, equity and diversity https://kpe.utoronto.ca/.

Your opportunity:

The Faculty of Kinesiology and Physical Education at the University of Toronto provides a collaborative and interdisciplinary research environment focused on advancing knowledge in health, physical activity, and human development.

The Research Officer will join a collaborative research team working on externally funded research projects focused on child health and the application of quantitative and machine learning methods to health research. The position will report to the Principal Investigators and will work closely with other members of the research team.

The primary focus of the role will be to support the preparation, management, and analysis of quantitative research data. The Research Officer will contribute to research activities including organizing and processing research data, implementing quantitative research methods, conducting data analyses, maintaining research databases and records, and preparing summaries and reports of research results. The position offers an opportunity to contribute to interdisciplinary research projects and work collaboratively with researchers and trainees.

Your responsibilities will include:

• Implementing and executing qualitative and/or quantitative research methods
• Analyzing data
• Coding research data
• Maintaining a database
• Organizing data into analyzable format
• Generating reports
• Drafting presentation materials
• Drafting summaries of research project results

Essential Qualifications:

• Bachelor's Degree in statistics, biostatistics, data science, computer science, health sciences, public health, or a related discipline
• Minimum one year of experience working with quantitative research data, including cleaning, organizing, processing, and analyzing quantitative datasets
• Minimum one year of experience using statistical software or programming languages, such as R or Python, for data management, analysis, and data quality checks
• Minimum one year of experience conducting quantitative data analyses and preparing summaries, tables, figures, or reports to communicate research findings
• Minimum one year of experience working in a research environment, including maintaining research datasets and records and collaborating with researchers or members of a research team
• Minimum one year of experience coordinating project meetings, including organizing schedules, agendas, and meeting materials, providing project updates, documenting action items, andcoordinating follow-up activities
• Minimum one year of experience preparing written summaries of research project results and findings
• Strong quantitative data management and analysis skills, including experience organizing, cleaning, validating, processing, and documenting research datasets
• Proficiency with R or Python for data cleaning, processing, and data analysis
• Knowledge of statistical and machine learning methods used in quantitative research, with the ability to interpret analysis outputs and accurately summarize research results
• Strong attention to detail and accuracy when working with research data, including the ability to identify and address data quality issues
• Strong organizational and time management skills, with the ability to manage multiple research tasks and meet deadlines
• Strong written and verbal communication skills, with the ability to work effectively and collaboratively in a research environment
• Ability to handle sensitive and confidential research information appropriately

To be successful in this role you will be:

• Accountable
• Achievement oriented
• Organized
• Problem solver
• Punctual
• Team player

Note: This is a one year term position.

Closing Date: 09/15/2026, 11:59PM ET
Employee Group: USW
Appointment Type: Grant - Term
Schedule: Full-Time
Pay Scale Group & Hiring Zone:
USW Pay Band 08 -- $63,963. with an annual step progression to a maximum of $81,797. Pay scale and job class assignment is subject to determination pursuant to the Job Evaluation/Pay Equity Maintenance Protocol.
Job Category: Registrarial Services
Recruiter: Rositsa Cholakyan

Lived Experience Statement

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the posted position.

Diversity Statement

The University of Toronto embraces Diversity and is building a culture of belonging that increases our capacity to effectively address and serve the interests of our global community.
We strongly encourage applications from Indigenous Peoples, Black and racialized persons, women, persons with disabilities, and people of diverse sexual and gender identities.
We value applicants who have demonstrated a commitment to equity, diversity and inclusion and recognize that diverse perspectives, experiences, and expertise are essential to strengthening our academic mission.
As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP.

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members.
The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.
If you require any accommodations at any point during the application and hiring process, please contact [e-mail].

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