Research Assistant/Associate, Health Informatics [LKCMedicine]

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The school is inviting applications for a Research Assistant/Associate (RA) to support research and administrative tasks at Assistant Professor Michele Nguyen’s lab. The lab conducts data analytics to investigate extreme events in the healthcare setting, from adverse clinical outcomes to diseases outbreaks. With climate change and societal developments, the nature and impact of these events is changing. The research aims to produce evidence-based guidance to help society better prepare for and handle health extremes.

Key Responsibilities:

• Collate datasets and perform data analysis 

• Read and critically evaluate existing literature on health extremes

• Contribute to the writing of progress reports and scientific papers

• Assist with day-to-day operations of the lab, including grants management and procurement

Key Competencies and Education Requirement:

• A Bachelor’s (for Assistant level) or Master’s (for Associate level) degree in fields such as Health Informatics, Data Science, Statistics, Public Health

• Experience in conducting literature reviews and data analysis

• Good written and oral communication skills

• Proficiency in statistical software (R) or other programming languages e.g. Python

• Experience with geospatial data is not a requirement but an advantage

• Willingness to learn new techniques and skills

• Self-motivated and well-organized with an eye for details

• Entry level candidates are welcome to apply