Job Description
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.
The Slaight Family Centre is a donor funded clinical research program for youth in transition, who are at-risk for, or at early stages of severe mental illness. The Slaight Family Centre is based in the Child Youth and Emerging Adult Program at CAMH, but requires close collaboration with a number of other medical programs and services. The main goal of the Slaight Family Centre is to put more young people with severe mental illness on a path to recovery, through the development of new treatments, enhancement of early detection efforts, and clinical brain research.
In this full-time, contract (12 months) position as a Research Methods Specialist (Database Specialist), you will assist the Research Operations Manager and program staff with a number of database and statistical responsibilities. These include (but are not limited to): interacting and working with the project team during the design, test, and deployment phases of research projects; development of database structure, testing, operationalizing and maintaining study databases and study tools using primarily REDCap and Microsoft Access software platforms; pulling and cleaning data in preparation for data analyses; conducting basic analyses using statistical packages (e.g., SPSS, R, SAS, MATLAB); data visualization (e.g., Tableau); and simple data interpretation. You will also be required to assist in developing and implementing database frameworks and evaluation tools, linking study databases with larger scale projects using existing CAMH data platforms (e.g. REDCap, XNAT, LabKey), monitoring day-to-day data collection, ensuring data integrity and accuracy, and entering and quality assuring study data. You will coordinate consistent data capture (where possible) across research studies and advise on strategic approaches for data consistency to maximize output of data collection. Roles may be project specific or function across research studies. Within these functions, you will also be required to build access and permissions to studies; build studies and sites that will access the study; manage user accounts; work with the Information Group (IMG) to support the electronic data capture (EDC) environments and tools; work with third party vendors to support the EDC environments and tools. Other administrative duties are also required. In addition, you will help develop SOPs as well as follow and update any existing organization-wide data SOPs.
This role will have dual reporting to the Slaight Centre Research Operations Manager and to the Manager, Research Data and Standardization. It will support alignment with research-wide data governance, architecture, and standardization initiatives. You will stay up-to-date with new database creation and linkage techniques available through CAMH and may provide data support to initiatives across other centres and divisions as required.
You will support a workplace that embraces diversity, encourages teamwork and complies with all applicable standards and requirements. This position is located at 1025 Queen Street West.
Job Requirements
The successful candidate must have an Honour’s Bachelor’s Degree in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, or a relevant field, combined with 5 years of relevant clinical, research or health services work experience.
- Have an active interest in electronic data collection in mental health and have worked with health care data, including assessment and clinical data.
- Experience providing data architecture or working with and coordinating large (multi-site) datasets is required.
- Strong knowledge of data models and data structures as well as electronic data capture tools, e.g. REDCap, Microsoft Access, or similar is required. Experience with additional data capture and database architecture is an asset.
- Strong understanding of data management across the research lifecycle, including creation, processing, analysis, preservation, access, and reuse of research data is required.
- Strong understanding and experience with regulatory procedures and how they apply to data storage, management, research data use, and access is required. Managing data access, permissions and roles to ensure compliance with privacy and research ethics is an asset.
- Experience creating and maintaining metadata and applying best practices to manage content is required.
- Experience working in an active research environment, ideally, including a combination of direct clinical research experience and experience in data management is required.
- Experience conducting basic analyses using statistical packages (SPSS, R, SAS, MATLAB) and data interpretation is required.
- Working knowledge of programming or database development tools and environments is required.
- Understanding and practice of matching/merging datasets, particularly to maximize outputs, is required.
- Previous study monitoring and quality assurance experience is an asset.
- Experience processing and tracking longitudinal data as well as working with medical imaging and clinical datasets is a strong asset
- Prior research or service experience with individuals and/or families with mental health and addiction issues is an asset.
- Excellent PC software skills, including Microsoft Office (Word, Access, PowerPoint, and Excel), internet search engines, and database software packages is required.
- Must be a self-motivated learner who enjoys working autonomously and liaising with other support networks (e.g., the Krembil Centre for Neuroinformatics).
- Excellent interpersonal, communication (oral/written), and organizational skills are required; along with the ability to collaborate effectively with team members.
- Excellent attention to detail and the ability to exercise initiative and good judgment are required for this position. The successful candidate will have the ability to multi-task and produce high-quality, accurate work in a fast-paced environment, while meeting program deadlines.
- Ability to work flexible hours.
- The position requires the ability to work effectively and efficiently in a variety of settings with individuals from diverse backgrounds.
- Bilingualism (French/English) and/or proficiency in a second language would be an asset.
Please Note: This full-time, 12-month contract position is part of the OPSEU Bargaining Unit.
