Research project: Patient stratification for development of better isolation guideline

Isolation of COVID-19 has been implemented in most countries since the pandemic started. However, the isolation guideline varies between countries. Scientifically evidenced isolation guidelines are needed. In this study, we compare different isolation guidelines, using the simulator mimicking the time course change in viral load.

This project is led by Keisuke Ejima, an Assistant Professor at Lee Kong Chian School of Medicine, Nanyang Technological University.

Key Responsibilities:

• Collect and clean data
• Analyze the data with mathematical/statistical models
• Review literature
• Involved in manuscript writing
• Additional task and research activities assigned by PI

Key Requirements and Competencies:

• Master's degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field.
• Research experience and/or educational background on public health and medicine is a plus but not essential.
• Computational experience on R is preferred.
• Good communication skill and respectful attitude for teamwork.

Hiring Institution: LKC