Public Health Data Scientist (Quant) – Disease Modeling

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

Job summary

National University of Singapore seeks a full-time Research Assistant for the Saw Swee Hock School of Public Health. The successful candidate will work on disease modelling and data analysis, utilizing statistical methods and programming skills, particularly in R.

The position involves collaboration with a diverse team, providing support for academic publications and data-driven research in public health. Candidates with a BSc in quantitative disciplines and strong programming skills are encouraged to apply.

Qualifications

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred).
• Statistical competence (Bayesian is advantageous).

Responsibilities

• Conduct disease modelling.
• Perform statistical analyses.
• Engage in academic writing and publication of results.
• Prepare meeting materials for stakeholders.

Skills

Statistical modelling

R programming

C++ knowledge

Python knowledge

Education

BSc in a quantitative discipline

Job description

National University of Singapore seeks a full-time Research Assistant for the Saw Swee Hock School of Public Health. The successful candidate will work on disease modelling and data analysis, utilizing statistical methods and programming skills, particularly in R.

The position involves collaboration with a diverse team, providing support for academic publications and data-driven research in public health. Candidates with a BSc in quantitative disciplines and strong programming skills are encouraged to apply.