Research Fellow (Dept of Paediatrics)

This Research Fellow position in the Department of Paediatrics will support a project on adolescent health by managing research cohorts, conducting statistical analysis, and preparing manuscripts. Key responsibilities include data cleaning and management, statistical analysis, and contributing to the design of analytical strategies. A PhD in a relevant field with strong statistical analysis skills and experience in academic writing is required.

• Perform data cleaning, management, and quality assurance to ensure accuracy and consistency of datasets.
• Assist PI in managing research and administrative matters of the research cohorts under the PI
• Conduct statistical analyses using appropriate methodologies to support research objectives.
• Contribute to the writing, editing, and publication of manuscripts in high-impact peer-reviewed journals (e.g., Tier Q1 journals aligned with NUS guidelines).
• Assist the Principal Investigator (PI) in grant proposal development, including literature review, methodological design, and drafting of grant applications.
• Prepare and deliver presentations of research findings for internal meetings, conferences, and other academic platforms.
• Collaborate effectively with multidisciplinary research teams across different domains.
• Maintain proper documentation of analytical workflows and research outputs.
• Perform other related duties as assigned, incidental to the work described above.

• PhD in a relevant field (e.g., Statistics, Biostatistics, Epidemiology, Public Health, or related discipline).
• Strong statistical analysis skills with experience in handling complex datasets.
• Proficiency in statistical software such as SPSS, R, Stata, or equivalent tools.
• Excellent written and verbal communication skills in English, with demonstrated experience in academic writing and publications.
• Strong organizational skills, with the ability to manage multiple tasks, work independently, and meet tight deadlines.
• Ability to exercise sound judgment and produce high-quality work under pressure.
• Formal application : Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to this job portal.