Should the successful applicant be a Unifor Unit 1 bargaining unit member, who meets the eligibility conditions of Article 19.02 of the Unifor Unit 1 Collective Agreement, then the Limited Term Assignment will be defined as a Career Growth Opportunity in accordance with Article 19 of the Unifor Local 5555 Unit 1 Collective Agreement.
Unit Description:
OnSPARK is a health data platform that supports the advancement of quality improvement and innovation across the long-term care (LTC) sector in Ontario. Working closely with health system, government and academic partners, OnSPARK securely integrates and curates real-world data from LTC homes to enable high-impact, evidence-informed research and decision-making.
We are seeking a Statistical Analyst (I) to support the ongoing enhancement of the OnSPARK Data Platform by contributing to the modernization of clinical data integration and analytic workflows. Reporting to the Platform Co-Leads and working in collaboration with senior Platform staff, this role will assist with the automation and standardization of data integration processes to help ensure data form multiple sources are consistently and reliably ingested, transformed and prepared for analysis.
Key responsibilities include executing and maintaining data integration processes, supporting the replication of existing SAS-based programs within updated workflows, performing parallel validation checks to confirm alignment with existing outputs. The role assists in documenting data manipulations and clinical rules to improve transparency, auditability, and re-use of platform datasets. The role will help develop and maintain version-controlled data pipelines that support routine reporting needs and enable future analytical enhancements.
Job Summary:
Responsible for the application of routine and moderately complex statistical and technical skills toward the collection, analysis, and translation of statistical data for a variety of research projects. Conducts statistical research and analysis and compiles and interprets statistical records and reports for a variety of research projects. Works under general supervision and uses discretion to resolve various problems and inquiries. Specific instruction is usually given and work is reviewed at frequent milestones.
Duties and Responsibilities:
- Apply established statistical methods and techniques to analyze and interpret data.
- Identify the appropriate method of statistical analysis and apply statistical techniques to interpret data.
- Compile and analyze data and interpret trends, fluctuations, and other changes that may emerge.
- Develop forms and procedures required for the collection and compilation of data.
- Devise and implement administrative procedures for the collection of data.
- Oversee the design and maintenance of databases, data collection forms, error checking methods, and related programs for collection, analysis, and reporting.
- Design database specifications and modify existing software packages to meet specific research project needs.
- Document new designs, codes, and modifications.
- Develop test cases and test system upgrades and enhancements.
- Write sections of scientific papers, funding proposals, grants, and abstracts.
- Identify and resolve database and software problems.
- Conduct data audits, compile results, analyze and summarize audit findings.
- Coordinate and manage the collection, delivery, entry, verification, analysis, and reporting of data.
- Provide advice regarding data collection and analysis required for research projects.
- Recommend modifications to processes related to data collection and data entry conventions and develop implementation plans.
- Apply specialized knowledge and scientific principles to review, critically appraise and interpret published literature.
- Research pertinent literature in a designed project area and analyze the applicability of the concepts.
- Review case report forms, determine possible protocol deviations, discrepant data, and inconsistent reporting.
- Facilitate meetings and prepare recommendations on statistical and reporting strategies.
- Exchange information with colleagues and statistical experts.
- Explain statistical approaches to others who do not have the equivalent knowledge in statistical methods.
- Develop and deliver presentations and training sessions.
- Safeguard the confidentiality of study data.
Supervision:
- Provide direction to others in how to carry out work tasks
Qualifications:
- Master’s degree in Statistics or related field of study.
Requires 2 years of relevant experience.
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Assets:
- Familiarity with PHIPA, secure environments supporting clinical or high-integrity data, and with data governance frameworks.
- Familiarity with the long-term care sector and health services research.
- Knowledge of MLOps, model lifecycle management, and production of AI/ML systems.
- Proficiency in Python and SAS coding is considered a strong asset, particularly for automated data integration.
- Ability to balance Platform stability with innovation, including AI/ML enablement.'
Additional Information:
The team operates primarily in a remote environment with a hybrid component. While most work can be completed remotely, in-person meetings or events are held on campus as needed, without a fixed schedule.
