Research Fellow, Population Health Data & AI

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

The National University of Singapore's Saw Swee Hock School of Public Health invites applications for a full-time Research Fellow in the SPHS team. You will lead and support research projects leveraging SPHS data to inform precision medicine and population health.

You will work with clinicians and researchers across disciplines, conducting analyses, preparing manuscripts, and contributing to grant deliverables.

Qualifications

• PhD in a relevant field.
• Experience with cohort studies and large-scale datasets.
• Proficiency in data analysis tools (R, Python, SQL).
• Strong written and verbal communication skills.
• Highly organized and able to work independently and in a team.

Responsibilities

• Develop and lead research questions, study designs, and analysis plans using SPHS data.
• Conduct statistical analyses, longitudinal modelling, or machine learning approaches as appropriate.
• Lead manuscript preparation, conference presentations, and grant-related deliverables.
• Support SPHS research programmes and collaborations.

Skills

R

Python

SQL

Education

PhD in Epidemiology, Health Informatics, Public Health, Biostatistics, Computer Science, Biomedical Informatics, or related fields

Job description

The National University of Singapore's Saw Swee Hock School of Public Health invites applications for a full-time Research Fellow in the SPHS team. You will lead and support research projects leveraging SPHS data to inform precision medicine and population health.

You will work with clinicians and researchers across disciplines, conducting analyses, preparing manuscripts, and contributing to grant deliverables.