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On-site
Experience
Some experience
About the role
This role supports research and innovation for the MSc in Precision Health and Medicine x Artificial Intelligence programme at NUS. You will work with Programme Directors, faculty, students, and partners on AI-enabled education, learning analytics, and capstone coordination. It suits someone with a computational or data science background who enjoys both research and programme operations.
What you'll do
Assist research on AI, machine learning, and data-driven methods for learning in precision health and medicine.
Research Assistant/Associate (AI Specialist) job at NUS, Kent Ridge | WorkJio
Support research on ethical and responsible AI use in graduate education, including academic integrity and independent thinking.
Help design, implement, and evaluate AI-assisted learning workflows for students.
Develop research frameworks to assess student learning needs, progression, engagement, and performance.
Prepare research reports, presentations, manuscripts, grant materials, and programme evaluation documents.
Conduct literature reviews and benchmarking on AI in education, precision health training, and biomedical data science education.
Guide students on capstone projects involving AI, data science, multi-omics, bioinformatics, or precision health.
Provide research and technical support for computational or AI-related capstone projects.
Monitor capstone progress and identify students needing extra research or technical help.
Create capstone resources, templates, research guidance, and computational learning aids.
Identify academic, clinical, research, and industry partners to host or co-supervise capstone projects.
Maintain systems for tracking capstone topics, mentors, student progress, outputs, and outcomes.
Research how capstone training aligns with industry, healthcare, research, and workforce needs.
Collect, organise, analyse, and interpret programme data on engagement, progression, assessment, capstone outcomes, and feedback.
Build dashboards, reports, and analytical summaries to identify student needs and improve learning support.
Support research-informed strategies for students with varied computational backgrounds in AI, data science, statistics, bioinformatics, or programming.
Organise computational support sessions, workshops, or clinics on programming, Linux, R, Python, AI/ML tools, or data analysis.
Develop learning materials for computational and AI-related programme components.
Evaluate active learning tools, digital platforms, and AI-enabled learning interventions.
Support academic integrity initiatives by evaluating tools and workflows for assessment design, online learning, and responsible AI use.
Identify opportunities to streamline research, learning support, student monitoring, capstone coordination, outreach tracking, and programme evaluation workflows.
Design, implement, or recommend AI-assisted solutions, scripts, dashboards, forms, databases, and automation workflows.
Develop and maintain structured datasets on student progression, capstone projects, mento
Requirements
Motivated and capable
Background in AI, machine learning, or data science
Experience with computational tools such as Python, R, or Linux
Able to support research and programme operations
Able to work with faculty, students, and partners
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