I am looking for graduate students (MSc or PhD) to contribute to the development of the Lifetime Exposures and Asthma outcomes Projection (LEAP) model. LEAP is a whole disease model of asthma in Canada, which is currently being developed to evaluate the impact of climate change-related increases in air pollution and the value of climate-adaptation measures. This project has been supported by the Canadian Institutes of Health Research and Health Research BC, and aims to evaluate policies for prevention and early intervention for childhood and adult asthma in terms of their long-term impacts on health outcomes and their ‘value-for-money’ potential. Students working on this project will gain valuable skills in programming, disease modelling, and health economics, which will prepare them for careers as health economics and outcomes researchers in industry and academia.
The candidate will contribute to methodological aspects of disease model development, such as programming in Python and R, statistical analysis of clinical data sources, and model calibration, as well as develop excellent skills in science communication through presentations and writing. The candidate will have a quantitative background where they have developed computer science skills (ie. mathematics, statistics, computer science, epidemiology, or economics). Please contact Kate Johnson (kate.johnson@ubc.ca) with a copy of your CV, a summary of your skills and description of your interests.