Research Assistant (Data Analysis) (CARE) .

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, with a focus on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

1. Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
2. Work with other researchers on interpreting and analysing quantitative data.
3. Contribute to the preparation of reports, policy and research briefs, presentations, and research papers.
4. Conduct follow-up assessments of study participants over the phone.
5. Support other project management tasks.
6. Assist with other initiatives at CARE where required.

Job Requirements

1. Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
2. Prior work experience in quantitative data analysis will be advantageous.
3. Possess strong communication and interpersonal skills.
4. Able to take initiatives to learn on the job and manage assigned tasks.
5. Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.
6. Candidates with relevant work experience may be considered for a Research Assistant (Senior) position.

Please attach a cover letter and a CV, with names and contact information of 3 referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.