Research Assistant/Associate, Health Data Science [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.

LKCMedicine is recruiting a Research Assistant/Associate for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao. The position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant will work as part of a growing and energetic team investigating health at the interface of environment, climate change and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the short to medium-term burden of infectious diseases across large spatial scales using high-frequency data.  

Key Responsibilities:

• Develop models to understand the epidemic potential and instantaneous transmissibility of infectious diseases

• Develop models to understand the medium to long-term burden of infectious diseases across large spatial scales

• Undertaking literature reviews

• Leading on analysing data using statistical and data science techniques

• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal

• Generating research questions

• Collaborating with researchers in other national and international institutions

Key Competencies and Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. I.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply

• Background and research experience in epidemiology

• A strong interest in infectious diseases, spatial statistics and health data science

• Ability to communicate findings effectively

• Ability to work in a diverse and large team of researchers

• Well-organized and has an eye for details

• Possess good written and verbal communication skills

• Possess the ability to work effectively in teams

• Have strong proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have familiarity in other programming languages, for example Python/C/C++

• Have a strong interest in learning quantitative skills