Research Fellow, AI in Medicine (Postdoctoral)

About the role

The Centre of AI in Medicine (C-AIM) is a university-level research centre aiming to bridge cutting-edge artificial intelligence technologies with practical applications in healthcare, to improve patient care and inform public health policy. NTU is looking for a Postdoctoral Fellow to lead research collaboration and grant applications, providing leadership and support across the Centre's portfolio of AI and machine learning projects, including strategic planning, grant writing, review of research agreements and the operation of flagship projects.

Key responsibilities

• Develop short-, medium- and long-term research strategies and monitor performance indicators to improve research productivity, quality and sustainability
• Cultivate partnerships with academic institutions, healthcare organisations, industry partners, government agencies and community stakeholders, and initiate and manage collaborative research projects
• Identify national and international collaboration opportunities
• Design and run research studies, including literature reviews, data collection and analysis, using qualitative, quantitative or mixed methods
• Manage data collection, ensure compliance with ethical and regulatory requirements, and perform data management, statistical analysis and interpretation
• Prepare research reports, policy briefs, presentations and manuscripts
• Lead the development and submission of grant proposals, identify funding opportunities and coordinate multidisciplinary teams on budgets and documentation
• Publish research findings in high-impact peer-reviewed journals

Required profile

• PhD graduate in medical AI, healthcare informatics, bioinformatics, computer science, AI implementation science or a related discipline
• Graduated within four years of the PhD programme at the time of application
• At least two years of graduate training, including the PhD duration
• Familiarity with at least two of biomedical informatics, clinical research, medicine, public health, implementation science and data science
• Proven research accomplishments and interest in medical AI, AI governance and regulation, and the deployment of AI in healthcare systems in Singapore