Description The Intrepid Lab (formerly Nicotine Dependence Service) at the Centre for Addiction and Mental Health (CAMH) is seeking a full-time, contract (12 months) Research Coordinator (Statistician) with a solid statistical and clinical/epidemiological data analysis background to support a large-scale program focused on nicotine and tobacco dependence treatment, chronic disease prevention and associated health behaviour outcomes.

The Research Coordinator will join and support the interprofessional team at the INTREPID Lab that has collected a large amount of data from prior studies, with many active studies and projects in varying stages of development and implementation. Reporting to the Manager, and working closely with a team of Research Coordinators, Scientists and Directors, the Research Coordinator will provide expertise in the design and analysis of research studies and data projects and perform a variety of data processing, management and analytic functions.

Working with a custom software solution designed for the provincial STOP Program’s large-scale implementation is an integral part of this position. The ability to work with data-driven clinical workflows, embedded analytics, generating and extracting reports from the application will be a key element of this position. Tracking project workplans, coordinating team meetings, completing project progress reports and other administrative and non-administrative duties may be involved, as required.

Responsibilities

Fielding research questions from the interprofessional team and proposing and executing analyses to answer research questions;

Preparing data for analyses by checking for inaccuracies, cleaning, recoding, formatting, merging as required;

Assisting in the creation of database protocols, codebooks and dictionaries;

Supporting multiple research and program implementation projects by providing data management, operational troubleshooting, survey maintenance, stakeholder support, and ongoing quality assurance activities;

Developing creative, visual representations of data findings for knowledge exchange/dissemination purposes and participating in the presentation of findings;

Providing consultation, coaching and assistance to research staff and students in the use of statistical software (using code),



and developing well-defined research questions and associated data analysis plans;

Performing a variety of ad hoc requests related to data management and analysis on an ongoing basis, in addition to recurring tasks;

Coordinating the implementation of survey and software enhancements by working closely with software developers and research staff; developing requirements, performing user acceptance testing, validating research data extracts, and troubleshooting issues related to data collection and reporting;

Assisting with the preparation of grants, manuscripts and writing methodological sections of reports and briefing materials for technical and non-technical audiences.

The successful candidate will support a workplace that embraces diversity, encourages teamwork, and complies with all applicable standards and requirements. This position is located at 1025 Queen St. W.

Qualifications

This position requires a Master’s Degree in Epidemiology, Biostatistics, or Statistics or a Master’s Degree in another field with exceptional experience with research methods. At least two (2) years of progressive work experience conducting advanced statistical/analytical studies and data management functions is required.

Experience working with large datasets, multiple datasets, data management, and data processing is required.

Experience in an academic research environment is preferred. Strong expertise in Stata is required, and experience with R is an asset. Knowledge of data management practices is required, as is experience with Microsoft Office (Word, Excel) applications.

Experience with relational databases, data visualization tools, and programming languages such as Python or Visual Basic are assets but are not required for this position.

This position requires superior interpersonal, communication (oral/written), analytical, problem-solving, and organizational skills, as well as the ability to anticipate, identify and solve inconsistencies with data,



manage multiple projects with exceptional accuracy and attention. The successful candidate must be able to work independently and effectively in a diverse and interprofessional team. Bilingualism (French/English) and/or proficiency in a second language would be an asset.

Salary Range: $37.51 - $50.60 per hour

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.

CAMH est un hôpital universitaire et un institut de recherche pleinement affiliés à l'Université de Toronto. En tant qu'employé de CAMH, vous contribuerez à notre mission en soutenant l'enseignement, la recherche et les soins cliniques à travers l'hôpital.

CAMH est dédié à l'équité, à la diversité et à l'inclusion. Notre engagement est de favoriser un environnement de travail, d'enseignement et d'apprentissage qui soit inclusif, respectueux et exempt de discrimination ou de harcèlement.

CAMH encourage fortement les candidatures de candidats qui reflètent la diversité des communautés que nous servons, y compris les Premières Nations, les Métis et les Inuits; les communautés noires et autres communautés racialisées; les communautés LGBTQ2S+; les femmes; et les personnes en situation de handicap, y compris celles ayant une expérience vécue des défis en matière de santé mentale et d'usage de substances.

📌 Research Coordinator - INTREPID Lab (Toronto)
🏢 Centre for Addiction and Mental Health
📍 Toronto