Research Assistant
5 days ago
**Introduction**:
CARE is a vibrant work place with individuals from diverse academic and personal backgrounds with a range of interests. We value 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.
**Project Overview**
The research project aims to facilitate a better understanding of the caregiving experience of family caregivers of older adults in Singapore. Using a longitudinal study design (i.e. following the same set of individuals over time), the project will identify patterns in health and caregiving-related outcomes as well as the factors that influence these patterns among family caregivers. The key research methods include quantitative survey interviews of family caregivers and their older family members, analyses of longitudinal data using group-based trajectory models, quantifying the cost of caregiving time, and assessment of grief in bereaved caregivers or family members.
The Research Assistant / Research Associate will contribute to the following activities within the scope of the abovementioned project on family caregivers of older Singaporeans:
- Primarily conduct quantitative data analysis of the survey dataset, write reports and manuscripts for publications, and prepare and submit grant status reports to funding agencies.
- Conduct data entry and management (such as data cleaning).
- Contribute project coordination and management which includes administrative and logistics needs of the project, and liaison with project stakeholders.
- Support the Centre’s education and research initiatives where required.
**Job Requirements**:
- Bachelor’s Degree (Research Assistant) / Master’s Degree (Research Associate) or equivalent in Sociology, Social Work, Public Health, Epidemiology, Psychology or other related discipline.
- Minimum 2 years of work experience.
- Well versed in quantitative data management and analysis using the following statistical analysis packages: Stata, SAS, or R.
- Prior experience in longitudinal data analysis would be advantageous.
- Possess excellent written and oral communication skills, with the ability to communicate and interact comfortably with older adults.
- Possess Knowledge of local languages/dialects due to the nature of the role.
- Motivated and detail-oriented, with the ability to work independently as well as with others in a multi-disciplinary setting.
**Covid-19 Message**:
At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.
Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.
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