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 Research Achievements, Impact and Strategic Enhancement (RAISE) Office is established to develop strategies to enhance the research impact, visibility, and reputation of the school institutionally, nationally and internationally. It sits within the ambit of the LKCMedicine Research Administration and Support Services Department under the Vice Dean of Research Office. Reporting to the Head of RAISE, you will be part of a dynamic team at the vanguard of highlighting and reporting on the school’s research impact and achievements. You will also work with other departments including the School Faculty, Finance, Office of Innovation and Enterprise (OIE) and Office of Patient Engagement (OPEN).
Responsibilities:
Research Impact metrics, Data Analytics & AI Automation
Evaluate and leverage platforms such as Altmetrics to capture non-traditional research impact metrics, including policy influence, societal engagement, and economic contributions etc
Establish systematic frameworks to monitor, analyse, and report research impact metrics, incorporating AI-enabled analytics to identify trends, correlations, and emerging impact signals
Compute and deliver reports on grant income of the School, incorporating automations to derive reporting needs such as breakdown of annualised grant quantum, update of grant end date etc
Perform multi-level data analyses related to research grants, including external grant return ratios at the school, programme, and individual faculty levels
Design and implement AI-driven automation solutions (e.g., scripting, machine learning models, or workflow automation tools) to streamline data extraction, integration, validation, and reporting processes, reducing manual effort and enhancing scalability
Consolidate, clean, and harmonise data from various sources (e.g., internal databases, research systems) to ensure consistency and reliability across datasets
Develop and maintain interactive dashboards and data visualisations (e.g., using Power BI, Tableau, Programming or similar tools) to support research performance monitoring
Collaborate with internal stakeholders (e.g., IT, research systems teams) to strengthen data infrastructure, integrate AI-enabled tools, and develop solutions for real-time tracking of research impact and performance
Track and analyse research-related metrics that contribute to university rankings, and identify opportunities to strengthen the school’s research performance and ranking outcomes
Research Communications & Visibility
Build and maintain strong working relationships with faculty members to identify and track high-impact research publications for dissemination across appropriate publicity platforms, including the school website, social media…