Job Description
The Centre for Quantitative Medicine (CQM) in Duke-NUS Medical School aims to be the centre of excellence in quantitative sciences for improving lives through biomedical research by leading and supporting scientific research, collaboration and education in quantitative sciences.
Job Description (Research Fellow)
Provide expertise in conducting research activities, including but not limited to planning, organising, conducting, and communicating research studies within the overall scope of a research project:
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field in attracting research funding.
• Conduct methodology research on reinforcement learning, dynamic treatment regimes, contextual bandit algorithms, causal inference, and novel clinical trials (e.g., SMART, MRT, adaptive) with applications in digital health.
• Develop relevant statistical software.
• Write and review research papers, present research outcomes and develop connections with local and international researchers for collaborative work.
• Analyse and interpret collected data and prepare oral presentations and/or written reports/ scientific manuscripts for publication.
• Contribute to project management, providing guidance to more junior researchers as well as undergraduate and graduate students.
• Contribute to occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.
Job Requirements
• PhD in Statistics, Biostatistics, Computer Science (Machine Learning, Artificial Intelligence), Mathematics or related quantitative fields with some relevant work experience.
• Demonstrated knowledge and expertise in statistics, linear algebra, statistical computing, and machine learning.
• Prior publication records in high impact journals.
• Possess strong communication and collaborative skills with the ability to work harmoniously with other team members as well as with collaborators from other disciplines.