Public Health Data Scientist (Quant) - Disease Modeling
National Unversity of Singapore
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. #J-18808-Ljbffr
Vacancy posted 16 hours ago
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