Postdoctoral Scholar in Machine Learning

Elevate your research career as a Postdoctoral Scholar in Survival Analysis and Machine Learning at the University of Calgary. Leverage extensive health data to develop and validate prediction models over two years.

This position, starting upon recruitment, is part of the Interdisciplinary Chronic Disease Collaboration. As a key member of a dynamic research team, you will work closely with Drs. Tyrone Harrison and Pietro Ravani, focusing on advanced statistical and machine learning methods. Expect to engage in independent analysis leading to significant contributions in scholarly publications and project outcomes.

Key Responsibilities:

• Lead statistical analyses for model development and validation

• Implement survival and machine learning models

• Work with large, population-based health datasets

• Contribute to manuscripts and collaborative research outcomes

Requirements:

• PhD in Biostatistics, Epidemiology, Statistics or related field

• Strong publication record in relevant medical journals

• Expertise in analyzing administrative health data

• Proficiency in R or Python for modeling

• Excellent communication and organizational skills

Contribute to impactful research while advancing your expertise in survival analysis and healthcare data analytics.
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