Research Assistant (HSRPH/MO)

National University of Singapore; Singapore; On-site; SGD 42,000 - 60,000; Full time

Job summary

National University of Singapore is seeking a research assistant to support a range of studies, including planning, coordinating and day-to-day execution of research projects.

You will conduct literature reviews, assist with data extraction and cleaning, and help prepare documentation such as protocols and data dictionaries. Collaboration with clinical and research teams is essential, with emphasis on data quality and compliance.

Qualifications

• Bachelor’s degree in a related health/science field.
• Experience in clinical/public health research or data-related projects is advantageous; entry-level considered.
• Proficiency with MS Office and Excel; basic knowledge of at least one statistical tool/language (STATA/SPSS/SAS/R/Python).
• Familiarity with REDCap and reference management tools is a plus.
• Strong analytical thinking, problem-solving and willingness to learn new methods.
• Ability to manage multiple tasks and stakeholders in a dynamic team.

Responsibilities

• Plan, coordinate and support day-to-day research activities.
• Conduct literature reviews and evidence synthesis; manage references and summaries.
• Assist with data extraction, cleaning, coding and basic analyses, ensuring data quality and confidentiality.
• Support participant recruitment, consent, surveys and medical-record review where applicable.
• Prepare study documentation: protocols, case report forms, data dictionaries and training materials.
• Assist with ethics/regulatory submissions and grant reporting under supervision.
• Coordinate project activities, meetings, milestones and stakeholder liaising.
• Support seminars, workshops and academic events; assist in dissemination of findings.

Skills

Analytical thinking

Written & verbal communication

Multitasking

Independent & collaborative work

Education

Bachelor’s degree in Public Health/Life Sciences/Biomedical Sciences/Nursing/Allied Health/Psychology/ Social Sciences/Epidemiology/Statistics/Data Science

Tools

STATA

SPSS

SAS

R

Python

REDCap

EndNote/Zotero

Job description

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.