Research Assistant/Associate, AI in Medicine
Nanyang Technological University · Singapore
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 behavioral, communications and social science research support for strategic healthcare AI implementation projects, including human-machine interactions, outcomes-based evidence, survey design and rollout, cohort recruitment, conversational analysis, simulation- and observation-based studies, data preparation, processing and analysis, project 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.
Behavioural, Communication and Social Science Research Support
Support healthcare AI implementation studies that examine human-machine interaction, communication practices, user behaviour, trust, acceptability, adoption, workflow fit and outcomes-based evidence in clinical, educational or organisational settings;
Assist with the design, rollout and monitoring of surveys, interviews, focus groups, observational studies, simulation-based studies and conversational analysis protocols related to AI use in healthcare;
Coordinate participant or cohort recruitment, consent-related documentation, scheduling, data collection logistics and follow-up activities for behavioural, communication and social science research components;
Prepare, clean, organise and analyse qualitative, quantitative or mixed-methods data, including survey responses, observational notes, transcripts, interaction logs and implementation outcome measures.
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, analysis, evaluation and documentation for AI-enabled healthcare projects, ensuring that technical outputs are interpreted alongside behavioral, communication and organizational considerations;
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 research teams, clinical or institutional collaborators, external 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 implementation and social science research work.
Research Administration, Compliance and Centre Support
Handle procurement, purchase requests, vendor coordination, asset tracking and resource planning for both routine centre operations and research project needs;
Support audits, compliance checks, institutional reporting and documentation processes to ensure alignment with NTU, C-AIM and project governance requirements;
Assist with research and legal agreements, project records, ethics or governance submissions where applicable, and coordination of administrative workflows required for collaborative healthcare AI projects;
Coordinate with finance, procurement, human resources, estates, IT and other administrative departments to resolve operational matters and support smooth centre functioning.
Required Competencies and Qualifications:
Bachelor’s (for Assistant) or Master’s (for Associate) degree in Social Sciences, Communications, Psychology, Behavioral Science, Sociology, Economics, Econometrics, Public Health, Health Services Research, Implementation Science, Health Informatics, Data Science, or a closely related discipline relevant to behavioral, communication and healthcare AI implementation research.
Training or experience in behavioral, communication, psychology, social science or econometric research methods, including survey design, interviews, focus groups, observational studies, simulation-based studies, conversational analysis, implementation evaluation or mixed-methods research.
Ability to support healthcare AI implementation studies examining human-machine interaction, user behavior, trust, acceptability, adoption, communication practices, workflow fit and outcomes-based evidence in healthcare, education or organizational settings.
Competence in preparing, cleaning, organizing and analysing qualitative, quantitative or mixed-methods data, including survey responses, interview or focus group transcripts, observational notes, interaction logs and implementation outcome measures.
Familiarity with statistical, qualitative or econometric analysis tools such as R, Python, Stata, SPSS, NVivo, ATLAS.ti, Excel or equivalent platforms is advantageous; willingness to learn additional data analysis or healthcare AI tools is expected.
Strong written and verbal communication skills, with the ability to prepare research protocols, study materials, reports, grant or proposal inputs, presentations, ethics documents and stakeholder-facing updates clearly and accurately.
Good interpersonal and coordination skills, with the ability to liaise professionally with research teams, clinical or institutional collaborators, study participants, vendors and administrative units across multidisciplinary healthcare AI projects.
Practical ability or willingness to support daily centre operations, including AVIT setup, equipment readiness, infrastructure coordination, inventory tracking, procurement documentation, audit preparation and liaison with vendors or institutional service teams.
Experience or willingness to learn research administration processes, including participant or cohort recruitment, consent-related documentation, ethics or governance submissions, project reporting, compliance documentation, grant support and research agreement coordination.
Strong organisational skills, attention to detail and interest in healthcare, AI in medicine, responsible AI implementation, digital health, health communication, behavioural science or health system improvement.
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