Quantitative Research Fellow — Public Health Modeling

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading academic institution in Singapore is seeking a Research Fellow with a quantitative background to work on public health research. The role involves disease modelling and statistical analyses, requiring strong programming skills in R and a completed PhD in a quantitative field. Candidates will collaborate with experts and take on a diverse portfolio of tasks, leading to independent publications in a supportive environment.

Qualifications

• Strong programming skills, especially in R.
• Statistical competence is required; Bayesian knowledge is a plus.

Responsibilities

• Conduct disease modelling.
• Perform statistical analyses.
• Engage in academic writing and publication.
• Prepare meeting materials for stakeholders.
• Lead and co-supervise projects.

Skills

Quantitative background

R programming

Statistical modelling

C++ coding knowledge

Python coding knowledge

Education

PhD in a quantitative discipline

Job description

A leading academic institution in Singapore is seeking a Research Fellow with a quantitative background to work on public health research. The role involves disease modelling and statistical analyses, requiring strong programming skills in R and a completed PhD in a quantitative field. Candidates will collaborate with experts and take on a diverse portfolio of tasks, leading to independent publications in a supportive environment.