Quantitative Public Health Modelling Fellow

National University of Singapore; Kent (WA); On-site; USD 50,000 - 70,000; Full time

Job summary

The National University of Singapore is inviting applications for a full-time Research Fellow in the Saw Swee Hock School of Public Health. The successful candidate will have a PhD in a quantitative discipline and experience in statistical modelling and programming, particularly in R. Responsibilities include conducting disease modelling, statistical analyses, and leading publications in a supportive team environment. The position is located at Kent Ridge Campus, focusing on significant public health research.

Qualifications

• PhD in statistics, mathematics, computational biology, or data science.
• Strong programming skills, especially in R.
• Experience with Bayesian statistics is advantageous.

Responsibilities

• Conduct disease modelling.
• Perform statistical analyses.
• Write academically and publish results.
• Prepare materials for stakeholder meetings.
• Lead and co-supervise projects.

Skills

Statistical modelling

R programming

Mathematical background

C++ programming

Python programming

Education

PhD in a quantitative discipline

Job description

The National University of Singapore is inviting applications for a full-time Research Fellow in the Saw Swee Hock School of Public Health. The successful candidate will have a PhD in a quantitative discipline and experience in statistical modelling and programming, particularly in R. Responsibilities include conducting disease modelling, statistical analyses, and leading publications in a supportive team environment. The position is located at Kent Ridge Campus, focusing on significant public health research.