The Early Mental Potential & Wellbeing Research Centre's mission is to maximise every child's mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child's mental and cognitive wellbeing at home.

We are looking for an experienced Research Associate to assist Dr Akshar Saxena to conduct economic health assessments, cost-effectiveness analysis, and Markov modelling of treatment processes. The postholder will conduct economic evaluation of the healthcare interventions using Markov modelling, and will contribute to economic modelling for cost-effectiveness analysis.

Key Responsibilities:

• Conduct economic analysis of healthcare expenditure data from existing dataset.
• Forecast the estimated healthcare expenditure for participants in research projects.
• Build Markov model(s) with counterfactual scenarios (varying levels of healthcare intervention) and forecast the healthcare expenditure and health outcomes.
• Conduct cost-effectiveness analysis of the alternative healthcare interventions.

Job Requirements:

• Masters degree in economics, health-economics, or epidemiology.
• Extensive experience with Stata and R/R-Studio/TreeAge Pro.
• Experience in Markov modelling (cost-effectiveness analysis, micro-simulation) is necessary. Candidate should be able to independently use TreeAge Pro or R for Markov modelling.
• Experience with multivariable logistic regression and regression discontinuity design analysis using Stata is necessary.
• Ability to understand medical terms and communicate with physicians.
• Good verbal and written communication skills.
• Independent, adaptable to change, strong problem-solving skills

Candidates with a proven track-record in one or more of these areas are welcome to apply. We will begin reviewing applications from June/July 2024 onwards, until the position is filled, and regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU