Prediction Modeling Postdoctoral Scholar

Enhance public health research as a Postdoctoral Scholar with the University of Calgary, focusing on Prediction Modeling and Machine Learning in Survival Analysis. This two-year role is ideal for a PhD graduate eager to apply their skills in meaningful ways.

Positioned within the Cumming School of Medicine, you will collaborate with a dedicated research team to develop a cutting-edge readmission risk prediction tool. Candidates should have a strong foundation in biostatistics and the ability to work with large health data sets. The focus will be on survival analysis, model calibration, and clinical utility assessment.

Key Responsibilities:

• Lead analyses for developing risk prediction models

• Implement advanced machine learning techniques such as gradient boosting

• Work extensively with population health data

• Publish research findings and contribute collaboratively

Requirements:

• Recent PhD in Biostatistics, Data Science, or related disciplines

• Solid track record of publications in healthcare research

• Skilled in statistical software like R or Python

• Excellent organizational and communication abilities

• Background in kidney health research preferred but not required

Drive meaningful advancements in health research through statistical modeling and analysis at the University of Calgary.
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