Research Coordinator

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.