Health Data Research Assistant (Econometrics & Policy)

National University of Singapore; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

Duke-NUS Medical School, located at Outram Campus, seeks a researcher to perform advanced quantitative analyses using large-scale healthcare datasets. Under supervision, you will apply econometric methods to evaluate healthcare utilisation, outcomes, and policy interventions.

You will also conduct systematic reviews, support study design and data management, contribute to manuscript preparation, and assist with grant reporting while collaborating with clinicians, data scientists and policy

Qualifications

• Bachelor's or Master's degree in a quantitative field (economics, statistics, public health) or related discipline.
• Strong knowledge in advanced statistical/econometric analysis.
• Experience with large datasets and statistical software.

Responsibilities

• Plan, organize and conduct research studies under supervision.
• Conduct advanced quantitative analyses using large-scale datasets (administrative, registry, EHR).
• Apply econometric methods to evaluate healthcare utilisation, outcomes, and policy interventions.
• Contribute to literature reviews, study design, data management and modelling.
• Contribute to manuscript preparation for peer-reviewed journals.
• Assist with grant preparation, reporting, and research coordination.
• Collaborate with clinicians, data scientists and policy stakeholders.

Skills

Statistical analysis

Econometrics

Data management

R

Stata

SAS

Writing & communication

Education

Bachelor's/Master's in Economics/Statistics/Public Health or related field

Tools

R

Stata

SAS

Job description

Duke-NUS Medical School, located at Outram Campus, seeks a researcher to perform advanced quantitative analyses using large-scale healthcare datasets. Under supervision, you will apply econometric methods to evaluate healthcare utilisation, outcomes, and policy interventions.

You will also conduct systematic reviews, support study design and data management, contribute to manuscript preparation, and assist with grant reporting while collaborating with clinicians, data scientists and policy