
Modeller in Population Health
2 days ago
Research Opportunity in Population Health Modelling
This research role offers a chance to work at the interface of population health, policy, and systems modelling. The goal is to develop a population-based modelling framework to evaluate the effectiveness, cost-effectiveness, and equity impact of obesity prevention and management strategies across Singapore's Regional Health Systems.
The successful candidate will contribute to designing and implementing a modelling framework, conducting literature reviews, synthesising evidence, collating and analysing quantitative datasets, coordinating stakeholder engagement activities, and preparing manuscripts for academic publication.
- Design and implement a modelling framework to estimate the population health and economic impacts of obesity prevention and management interventions.
- Conduct comprehensive literature reviews and synthesise evidence on intervention effectiveness, reach, and cost.
- Collate and analyse quantitative datasets from multiple sources, including regional health system records.
- Coordinate stakeholder engagement activities, including workshops, focus groups, and Practitioner Advisory Group consultations.
Requirements
To be considered for this role, you must possess strong quantitative skills, ideally including familiarity with decision-analytic modelling, Markov models, DALYs, or HALE-based outcomes. Excellent written and verbal communication skills are also essential, as well as the ability to work effectively in an interdisciplinary, multi-stakeholder environment.
- Master's degree in public health, epidemiology, health economics, biostatistics, or a related field (for Research Associate) or PhD in one of these disciplines (for Research Fellow).
- Strong quantitative skills, ideally including familiarity with decision-analytic modelling, Markov models, DALYs, or HALE-based outcomes.
- Excellent written and verbal communication skills, with the ability to work effectively in an interdisciplinary, multi-stakeholder environment.
About the Project
This project aims to develop a population-based modelling framework to evaluate the effectiveness, cost-effectiveness, and equity impact of obesity prevention and management strategies across Singapore's Regional Health Systems.
The successful candidate will have the opportunity to work closely with clinicians, public health leaders, and community partners to co-design strategies that improve population outcomes and reduce the burden of obesity in Singapore.
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