"Research Associate (HSSR/MO)"

Job Description

The selected candidate will perform a variety of research activities which include coordinating, organising and participating in research studies under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Perform tasks and support all aspects of the research project.
• Design and implement search strategy for peer-reviewed and grey literature.
• Conduct literature reviews and scoping reviews; synthesize and summarize research findings.
• Support data acquisition, cleaning, management, and statistical analysis.
• Develop and maintain dashboards for project monitoring and reporting.
• Assist with data visualization and the preparation of research reports, presentations, and publications.
• Support and/or contribute towards research protocol development.
• Assist ethical review application submission to local institutions.
• Contribute to the development of funding grant proposals and preparation of progress and final reports to stakeholders.
• Support project coordination tasks, including scheduling, meeting documentation, and milestone tracking.
• Assist in the organisation of events such as conferences, seminars, and training workshops.
• Contribute to project management activities, research presentations, and publications, including occasional project demonstrations where applicable.
• Perform other related duties incidental to the work described therein.

Qualifications

• Master’s Degree in Statistics / Biostatistics / Data Science / Epidemiology (with strong quantitative focus)
• Proficient in at least one statistical software package (e.g. STATA, SPSS, SAS, R).
• Demonstrated experience with synthesis projects, using reference management software (e.g. EndNote, Zotero) and literature screening tools (e.g. COVIDENCE, Rayyan.ai)
• Experience with data visualisation tools (e.g. Power BI or Tableau).
• Proven track record of contributing to peer-reviewed publications in healthcare or biomedical research.
• Good foundation in statistical theory, methods, and application to real-world datasets.
• Possess strong analytical thinking and problem-solving abilities.
• Capable of working independently while also being a collaborative team player with a proactive and adaptable mindset.
• Have excellent written and verbal communication skills, with ability to liaise professionally with clinicians, researchers, and technical staff.

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