Research Fellow / Research Associate (Digital Health - Mixed Methods Research)

Interested applicants are invited to apply directly at theNUS Career Portal. Please note your application will only be processed if youapply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-Research-Associate-%28Digital-Health-Mixed-Methods-Research%29/33723-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Fellow or Research Associate (Digital Health – Mixed Methods Research), 1 year minimum, up to 3 years

The Saw Swee Hock School of Public Health (SSHSPH) is seeking a highly motivated and skilled Research Fellow or Research Associate to contribute to interdisciplinary projects in digital health, with a particular focus on the development,optimization, and evaluation of mobile health (mHealth) interventions for diverse population segments. This position offers the opportunity to work in a dynamic, translational research environment at theintersection of behavioural science, public health, and digital technologies.

Key responsibilities include:

• Design, refine, and optimise mHealth interventions tailored for different demographic populations using smartphone applications, wearable technologies, and just-in-time adaptive intervention frameworks
• Analyse qualitative data from interviews and focus group discussions, and refine digital health interventions based on these findings
• Develop and refine interview guides and focus group discussion guides
• Guide and support student assistants in conducting interviews and focus groups
• Conduct literature reviews to inform intervention design and evaluation
• Support the analysis of intervention effectiveness, contributing to usability testing, user engagement metrics, and statistical analysis
• Collaborate with interdisciplinary research teams including behavioural scientists, software developers, clinicians, public health experts, and national health promotion stakeholders
• Translate research findings into scientific publications, policy recommendations, and practical tools
• Support grant writing and contribute to securing external funding
• Supervise or mentor junior researchers or interns as appropriate.

The Research Fellow or Research Associate will work closely with members of the Physical Activity and Nutrition Determinants in Asia (PANDA) research programme. PANDA is one of the major research programs of the SSHSPH including faculty members from a variety of disciplines. PANDA aims to understand determinants of nutrition and physical activity behaviours in Asian populations and develop interventions to improve these behaviours and contribute to the prevention of non-communicable diseases and mental well-being.

Recruitment is open immediately, and will continue until the position is filled.

For further enquiries, please contact Dr Sarah Tan at [email protected] or A/Prof Falk Mueller-Riemenschneider at [email protected].

We regret that only shortlisted candidates will be notified.

Qualifications

Requirements:

• A PhD (Research Fellow position) or a higher university degree, e.g., Master's (Research Associate position), in Public Health, Behavioral Science, Psychology, Health Services Research, Sociology, Medical Anthropology, Health Informatics, Data Science, or a related field
• Qualitative research skills, including designing and conducting interviews and focus group discussions, and analysing qualitative data (e.g., thematic analysis, familiarity with qualitative data analysis software).
• Experience conducting literature reviews, ideally including realist synthesis or other structured review methods is desirable.
• Demonstrated experience in the design and evaluation of digital health or mHealth interventions is an advantage.
• Quantitative or mixed-methods research skills (e.g., usability testing, user engagement metrics, statistical analysis, intervention effectiveness) are desirable
• Familiarity with EMA, EMI, MRTs, or SMART designs is desirable.
• Strong written and verbal communication skills.
• Ability to work both independently and collaboratively in multidisciplinary teams.
• Organised, detail-oriented, and capable of managing multiple tasks and timelines.
• A proactive, solution-oriented mindset, particularly in addressing challenges in digital intervention development and implementation.