THE UNIVERSITY OF BRITISH COLUMBIA
THE UNIVERSITY OF BRITISH COLUMBIA
We are looking for a brilliant graduate student (MSc or PhD) for exciting projects in predictive analytics and decision modeling.
The project is part of the $2M The Canadian Institutes of Health Research-funded IMPACT study (https://resp.core.ubc.ca/research/Specific_Projects/IMPACT) involves creating sophisticated risk prediction models for patients with Chronic Obstructive Pulmonary Disease (to predict disease outcomes), implementing these models into electronic Health Record (EHR) systems, and evaluating their impact on patient care and outcomes. This is an analytically demanding project that requires innovations on risk prediction using EHR data, dynamic updating of risk prediction models, and novel methods for quantifying uncertainty in predictions and evaluating the cost-effectiveness of risk and treatment effect prediction.
The candidate is expected to contribute to the methodological aspects of predictive analytics (risk prediction modeling, treatment benefit modeling, value of information analysis). The candidate will have multiple opportunities for interacting with several other trainees, post-doctoral fellows, research staff, and faculty members. The RESP lab is embedded within Collaboration for Outcomes Research and Evaluation at Faculty of Pharmaceutical Sciences, one of the largest health outcomes groups in Vancouver.
The candidate will require quantitative background (preferably a degree in statistics, mathematics, or a similar field) and a lot of motivation for pursuing a successful career as a scientist.
See some of our previous work here: https://resp.core.ubc.ca/research/Methodology/Methods
Visit some of our alumni here: https://resp.core.ubc.ca/show/prospective_students
Interested candidate please contact Mohsen Sadatsafavi (msafavi@mail.ubc.ca).
We are 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.
