Full-time position based in Kanata North for a one-year term, with the opportunity for renewal and advancement. We are seeking a highly motivated and collaborative Health Research Analyst to join our team.
We offer a competitive salary commensurate with experience, along with a comprehensive benefits package.
Key Responsibilities
The role demands rigorous data analysis, epidemiological insight, and methodological support applied with the precision required for high-impact health research. Reporting to the Director of Software Development, the Health Research Analyst works with a multidisciplinary team and delivers the statistical and analytic expertise needed to advance assigned projects. Specific responsibilities include:
Conduct advanced statistical analyses of large datasets, applying epidemiological and biostatistical methods to generate clear scientific outputs (tables, figures, models).
Collaborate with team members on the design and implementation of survey logic, study protocols, data collection tools, and data management plans.
Prepare high-quality reports, presentations, and manuscripts for internal and external audiences.
Perform statistical analyses using multiple software platforms (e.g., SAS, R, STATA, SPSS) to test hypotheses, evaluate survey performance, track response trends, and identify areas for improvement.
Contribute to the development and application of mathematical models in data analysis.
Stay current with literature and industry trends to inform project direction and strengthen team expertise.
Ensure compliance with organizational policies and standards throughout all research activities.
Undertake statistical data cleaning, imputation, weighting, and reporting of findings.
Maintain standardized forms for both controlled and uncontrolled documents and ensure record keeping of critical tasks.
Requirements
MSc in biostatistics, statistics, epidemiology, or a related field, with demonstrated experience in data analysis and biostatistics.
A love of research.
Critical Skills
Demonstrated ability to maintain and analyze large and complex datasets.
Advanced proficiency with statistical software (e.g., SAS, R, STATA, SPSS) and programming for data analysis.
Expertise in summarizing data and analyses into accurate, publication-ready tables, figures, and models.
Strong analytical and organizational skills.
Exceptional attention to detail.
Ability to work with focus and urgency to meet goals, objectives, and deadlines.
Superior communication skills.
Job Type: Full-time
Benefits:
Casual dress
Dental care
Extended health care
On-site parking
Paid time off
Vision care
Education:
Master's Degree (required)
Work Location: In person
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