Lead biostatistical research analytics at the University of Manitoba using R, SAS, Python, SQL, and advanced statistical methods. This is a full time position.
As Biostatistician Analyst Lead, you will support health, clinical, population health, and related research projects. Your work will combine complex dataset management, statistical modelling, database development, reproducible workflows, and methodological consultation. You will contribute across multidisciplinary research programs in the College of Pharmacy.
Key Responsibilities: Design and optimize research databases, repositories, and analytical environments
Build data pipelines for importing, transforming, validating, and linking research data
Conduct regression, longitudinal, survival, and causal analyses




Develop statistical analysis plans and interpret research findings
Prepare manuscripts, technical reports, presentations, and grant materials
Requirements: Master’s degree with two years of directly related experience
Experience supporting health or clinical research projects
Proficiency with R, SAS, Python, SQL, Stata, or SPSS
Knowledge of biostatistics, epidemiology, and statistical modelling
Strong communication, organization, and problem-solving skills
Apply biostatistics, data management, programming, and research design expertise across University of Manitoba health research programs.

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📌 Lead Biostatistician Research Analytics (Manitoba)
🏢 University of Manitoba
📍 Manitoba