Research Assistant/Associate, AI Algorithm and Software Development [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 Data Science and Artificial Intelligence (DS/AI) Group within LKCMedicine is a multidisciplinary academic unit focused on advancing the application of data science, machine learning, and artificial intelligence in medical education, biomedical research, and healthcare delivery. The key objective is to support efforts to develop innovative, data-driven solutions that improve patient outcomes, enhance healthcare systems, and strengthen the future readiness of medical training and research.

For more details, please view https://www.ntu.edu.sg/medicine.

We are looking for a Research Assistant /Associate to develop hospital-at-home projects. The role will focus on designing, implementing, and evaluating innovative care models that enable safe, high-quality acute care delivery in patients’ homes. Responsibilities include supporting clinical operations research, data collection and analysis, workflow optimization, stakeholder engagement, and project coordination across multidisciplinary teams to improve patient outcomes, experience, and system efficiency.

Key Responsibilities:

• Support the design, implementation, and day-to-day coordination of hospital-at-home pilot projects and service initiatives.
• Collect, manage, and analyse clinical, operational, and patient experience data to evaluate programme outcomes.
• Engage clinicians, administrators, community partners, and other stakeholders to optimise workflows and care pathways.
• Prepare reports, presentations, and research outputs, and contribute to grant applications, publications, and continuous improvement activities.

Requirements:

• Bachelor’s (for Research Assistant equivalent) / Master’s (for Research Associate equivalent) Degree in Computer Science, Data Science, or related field

• Relevant experiences in similar role / technical hands-on experience in algorithm and software development

• Familiarity with Python programming and machine learning

• Good written and oral communication skills

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills

• Entry level candidates are welcome to apply

We regret to inform that only shortlisted profile will be contacted.