Healthcare AI Research

Centre of AI in Medicine is a university-level research centre with the mission to bridge the gap between cutting-edge Artificial Intelligence (AI) technologies and practical applications in healthcare, The key objective is to spearheadresearch and development to revolutionise patient care and inform public health policies.

For more details, please view https://www.ntu.edu.sg/c-aim

We are seeking a Research Assistant / Research Associate to contribute towards the daily operational needs and strategic research priorities of the NTU Centre of AI in Medicine (C-AIM). The role will support the smooth running of C-AIM’s infrastructure, AVIT systems, administrative processes, procurement, audits, documentation, and coordination activities, ensuring that the Centre’s day-to-day functions are reliable, efficient, and responsive to project and stakeholder needs.

In parallel, the candidate will provide data science and AI/ML modelling support for strategic healthcare AI projects, including clinical and biomedical data preparation, feature engineering, statistical modelling, machine learning model development, validation, performance evaluation, workflow prototyping, reproducible analysis, technical documentation, grant and proposal support, and coordination with internal and external collaborators. Through this dual operational and research-facing role, the candidate will help C-AIM translate AI innovations into practical healthcare applications that advance patient care, health system improvement, and responsible AI implementation in medicine.

Primary Responsibilities

Daily Operations, Infrastructure and AVIT Support

• Manage, operate and maintain C-AIM’s AVIT, computing and infrastructure resources, including microaccess laboratories and AI simulation rooms, to ensure readiness for meetings, events, demonstrations, teaching, research activities and stakeholder engagements;
• Provide day-to-day technical support, troubleshooting and liaison with institutional teams, vendors and service providers for equipment setup, servicing, procurement and upgrades;
• Maintain inventories, usage records, documentation and operational trackers to support efficient centre operations, audit readiness and continuity of services.
  
  

Data Science, AI/ML Modelling and Technical Research Support

• Support healthcare AI projects involving statistical modelling, machine learning, predictive analytics, natural language processing, multimodal data integration or other AI/ML approaches relevant to clinical, biomedical or health system applications;
• Assist with data extraction, cleaning, harmonisation, feature engineering, exploratory analysis, model training, validation, benchmarking, calibration and performance evaluation using appropriate statistical and machine learning methods;
• Develop, test and document reproducible analytical workflows, scripts, notebooks, pipelines, dashboards or prototypes to support AI/ML model development and evaluation in healthcare settings;
• Prepare technical summaries, model outputs, visualisations and interpretation notes to support research meetings, grant applications, project reports, manuscripts and stakeholder-facing communications.
  
  

Healthcare AI Implementation and Project Support

• Support strategic healthcare AI implementation projects by assisting with needs assessment, workflow mapping, stakeholder documentation, user feedback collection and translation of research findings into practical implementation recommendations;
• Assist with data preparation, processing, statistical analysis, model development, validation, evaluation and documentation for AI-enabled healthcare projects, ensuring that technical outputs are robust, interpretable and aligned with clinical or implementation needs;
• Contribute to the development, testing and evaluation of AI/ML workflows, prototypes, dashboards or tools that support responsible deployment, monitoring or evaluation of AI applications in healthcare settings;
• Support deployment, testing and maintenance of AI/ML applications on suitable institutional or cloud-based platforms, in coordination with relevant technical, governance and stakeholder teams.
  
  

Research Coordination, Documentation and Communication

• Prepare and maintain research protocols, study materials, implementation notes, project reports, presentation materials and progress updates for C-AIM projects;
• Coordinate communication across data science teams, clinical or institutional collaborators, technical partners, vendors and administrative units to support timely project delivery and clear stakeholder engagement;
• Support the preparation of grant applications, research proposals, conference materials, posters, manuscripts, ethics submissions and other outputs arising from healthcare AI,