Job Description

The SingHealth Duke-NUS Global Health Institute (“SDGHI”) is a platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (“AMC”). The Institute aims to address current and emerging health challenges across Asia. Working in collaboration with partners, the Institute seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

The Global Health Systems Research Unit is a new and dynamic unit focused on elucidating health system challenges and developing solutions. It collaborates with partners in Singapore and across Asia, generating evidence that drives intervention programmes across the AMC. The unit explores innovative ways to work with data, including testing AI tools for efficient management, analysis, synthesis, and visualisation of research data.

The Research Associate will support the research needs of SDGHI’s Global Health Systems programmes across Asia. This includes work within the Clinical Core, Centre for Global Nursing, and the Asian Institute for Healthcare Leadership and Management.

Key Responsibilities

• Contribute to a wide range of health systems and services research programmes, including health systems analysis, resource allocation and  policy decision-making.
• Utilise a range of quantitative research methods to work with institutional and country-level data.
• Implement advanced data tools for efficient management, analysis, synthesis, and visualisation of health systems data, ensuring accuracy.
• Assist with research project management, coordinating effectively among diverse stakeholders within SingHealth Duke-NUS AMC and external  partners (including overseas) to achieve project goals.
• Write research manuscripts, case studies, reports, presentations to academic audiences, funders, and other stakeholders.

Qualifications

• Master’s Degree in Public or Global Health, or a field relevant to health systems and services research.
• Minimum 3 years of professional experience in health systems or services research.
• Demonstrated proficiency in quantitative data and statistical analysis. Prior experience in systems modelling or health economics is highly advantageous.
• Have excellent academic writing and presentation skills.
• Possess a growth mindset and can manage multiple projects with dynamic reporting lines and multiple stakeholders.
• Embrace a decolonising mindset and the principles of equity, diversity, and inclusion.
• Available for regional travel.

We regret that only shortlisted candidates will be notified.