Analyst Medicine - Critical Care
Listed on 2026-06-06
-
IT/Tech
Data Scientist -
Research/Development
Data Scientist
Position Overview
The Analyst Medicine - Critical Care will provide advanced statistical and data management expertise in support of a large, complex medical database that is continuously evolving. The candidate will engage extensively with database personnel, physicians, researchers, and administrators to ensure high-quality data, robust analyses, and timely reporting. They will play a key role in maintaining database integrity and producing high‑quality reports to support clinical, quality improvement, and research initiatives.
Dutiesand Responsibilities
- Maintain and oversee the integrity, quality, and security of a large, continuously evolving medical database.
- Collaborate with a multidisciplinary group to support database development, enhancement, and documentation.
- Design, implement, and validate statistical analyses using SAS; facility with R is highly desirable.
- Develop, generate, and refine routine and ad‑hoc statistical and analytical reports for clinical, research, and administrative stakeholders.
- Consult with physicians, researchers, and other data users to define analytical requirements, translate clinical and research questions into statistical plans, and interpret results.
- Contribute to the ongoing evolution of the database, including data structure design, variable definition, metadata standards, and data quality procedures.
- Develop and implement procedures for data validation, cleaning, and quality assurance.
- Prepare and maintain comprehensive documentation of data management processes, analytical methods, and reporting standards.
- Provide training and technical support to database users and collaborators on data access and interpretation of reports.
- At least 5 years of experience in statistical analysis and data management within a medical, clinical, or health research setting.
- Master's degree in Statistics, Biostatistics, Data Science, Epidemiology, or a related quantitative field.
- Expert-level proficiency in SAS for data management and statistical analysis.
- Experience working with large, complex, evolving datasets.
- Proven ability to work collaboratively within a multidisciplinary team environment.
- Strong written and verbal communication skills, with the ability to interact effectively with technical staff, physicians, and researchers.
- Proficiency in R for data manipulation, visualization, and advanced analytics preferred.
- Proficiency in Microsoft Access and other common data management platforms preferred.
- Experience with clinical or health research databases and knowledge of privacy/confidentiality considerations preferred.
Applicants must have a current satisfactory Criminal Records Check (including Vulnerable Sector Search), Child Abuse Registry Check, and Adult Abuse Registry Check. A background check is considered current if obtained no more than six (6) months prior to the start of employment.
Manitoba health care employers, in partnership with the Indigenous community, are committed to increasing representation of Indigenous people within all levels of the workforce. Indigenous applicants are encouraged to apply and may voluntarily self-identify as of Indigenous descent in their application.
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