Research Assistant (HSRPH/MO)

The selected candidate will perform a variety of research activities, including planning, coordinating, organising and supporting research studies, including but not limited to the following:-

• Support the planning, coordination and day-to-day execution of research projects.
• Conduct literature reviews, scoping/systematic reviews and evidence synthesis; manage references and prepare concise summaries.
• Support data acquisition, extraction from approved sources, data cleaning, database maintenance, coding and basic descriptive analyses, while ensuring data quality and confidentiality.
• Assist with participant recruitment, consent-taking, survey administration, follow-up calls and medical-record review where applicable, after appropriate training and approvals.
• Prepare and maintain study documentation, including protocols, study manuals, case report forms, data dictionaries, training materials, delegation logs and study files.
• Support ethics/regulatory submissions, amendments, institutional documentation, progress reports and grant/funder reporting under supervision.
• Coordinate project activities, including scheduling, meeting minutes, action trackers, milestone monitoring and liaison with internal/external stakeholders.
• Assist with project management, procurement, logistics and organisation of seminars, workshops, training sessions and academic events.
• Support the preparation of abstracts, posters, manuscripts, data visualisations, slides, dashboards and project reports; contribute to research dissemination and occasional project demonstrations.
• Maintain compliance with Duke-NUS policies, research ethics, PDPA, data security and safety requirements.
• Perform other related duties incidental to the work described therein.

Qualifications

Job Requirements:

• Bachelor's Degree in Public Health, Life Sciences, Biomedical Sciences, Nursing, Allied Health, Psychology, Social Sciences, Epidemiology, Statistics, Data Science or a related discipline.
• Prior experience in clinical research, health services research, emergency medicine, pre-hospital care, public health, epidemiology or data-related projects will be advantageous. Entry-level candidates with strong aptitude for research may be considered.
• Good working knowledge of Microsoft Office and Excel; basic competency in at least one statistical software package or programming language (e.g. STATA, SPSS, SAS, R or Python) is desirable.
• Familiarity with REDCap/electronic data capture systems, reference management and literature screening tools (e.g. EndNote, Zotero, Covidence, Rayyan) will be an advantage.
• Possess strong analytical thinking, problem-solving abilities and willingness to learn new research methods and operational workflows.
• Able to manage multiple tasks, timelines and stakeholders in a dynamic research environment, while working independently and collaboratively in an interdisciplinary team.
• Have excellent written and verbal communication skills, with ability to liaise professionally with clinicians, researchers, and technical staff.