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 Dementia Research Centre (Singapore) (DRCS) conducts human research in neuropsychology, neuroimaging and biomarkers to advance understanding of Alzheimer’s disease, vascular dementia and related conditions, and integrates digital platforms and artificial intelligence in translational research for cognitive disorders. The Centre offers a dynamic and supportive research environment, access to state-of-the-art core facilities, and valuable opportunities for hands-on experience in dementia research. Motivated and enthusiastic individuals are strongly encouraged to apply.

This position focuses on driving the technical direction and development of digital solutions for cognitive and mental healthcare.

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

Key Responsibilities:

Technical leadership & architecture

• Lead technical direction and system design, and actively contribute to hands-on coding and implementation alongside a small team of developer and designer.
• Define and guide system design across frontend, backend, and cloud infrastructure to ensure scalability, maintainability, and research usability.
• Make informed technical decisions on frameworks, tools, and system design in collaboration with the research and engineering team.
• Establish and improve engineering standards, code quality practices, and development workflows.
• Oversee integration of research-driven features, including digital biomarkers, analytics, and AI/ML components into production systems.

Product & system development oversight

• Oversee full-stack development of web and mobile applications (React / React Native / backend services).
• Ensure robust implementation of APIs, data pipelines, and application logic supporting research and clinical studies.
• Guide cloud infrastructure design and deployment (AWS or equivalent) to ensure system reliability and security.
• Support troubleshooting, optimisation, and system performance improvements across platforms.

Team leadership & mentoring

• Lead and mentor a small in-house technology team.
• Provide technical guidance, code reviews, and architectural direction for ongoing projects.
• Support capability building within the team, including best practices in software engineering and research-driven development.
• Coordinate closely with other researchers, clinicians, and stakeholders to translate research requirements into scalable digital solutions.

Research & Academic Contributions

• Contribute to research design, methodology, and technical implementation of digital health studies.
• Support and lead preparation of academic publications in peer-reviewed journals and conferences.
• Translate technical work (systems, algorithms, datasets, and digital interventions) into publishable research outputs.
• Collaborate with clinicians and researchers on study design, data analysis, and interpretation of results.
• Participate in grant writing and research proposal development where relevant.
• Engage in dissemination of research findings through conferences, workshops, and academic networks.

Requirements:

Essential qualifications

• PhD in Computer Science, Engineering, Life Sciences, Biomedical Sciences, Data Science, or a related discipline.
• Candidates with non-technical backgrounds (e.g. biological or biomedical sciences) are welcome if they possess strong demonstrated experience in software development, data analysis, or digital product development.
• PhD preferred but not required; strong industry experience or equivalent leadership experience will be considered.

Essential skills and experience

• Proven experience in full-stack software development (web and/or mobile applications).
• Strong proficiency in JavaScript / TypeScript.
• Experience with frontend frameworks such as React (and React Native preferred).
• Experience building and maintaining backend systems (Node.js or similar).
• Experience with cloud platforms (AWS preferred).
• Demonstrated experience in technical leadership, system design, or leading engineering teams.
• Strong problem-solving ability and experience making architectural decisions in real-world systems.
• Ability to work independently in ambiguous, research-driven environments.
• Strong communication skills and ability to work across technical and non-technical stakeholders.
• Demonstrated interest or experience in academic research, with publications or evidence of research output being an advantage.
• Ability and willingness to contribute to peer-reviewed publications as part of the role.

Preferred

• Experience in digital health, healthcare technology, research, or academic-industry collaboration.
• Exposure to AI/ML systems, data pipelines, or analytics-driven applications.
• Experience with CI/CD, DevOps practices, and scalable system design.
• Experience working in startup or early-stage product environments.
• Strong interest in neuroscience, cognitive health, or biomedical research applications.
• Track record of mentoring engineers or leading technical projects end-to-end.

What We Offer:

• Opportunity to lead the development of cutting-edge digital health technologies with real clinical impact.
• Access to multimodal research datasets (clinical, neuroimaging, biomarkers, and digital data).
• Close collaboration with clinicians, neuroscientists, and interdisciplinary research teams.
• Opportunity to shape technical direction and build engineering capability within the centre.
• Exposure to high-impact research, publications, and regional collaborations.
• A role at the intersection of AI, neuroscience, and healthcare innovation.