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
- Robust communication, organization, and problem-solving skills

Apply biostatistics, data management, programming, and research design expertise across University of Manitoba health research programs.

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