The Centre for Ageing Research and Education (CARE) is an academic research centre based in Duke-NUS Medical School, Singapore. Drawing on its interdisciplinary expertise and collaborations across medical, social, psychological, economic and environmental perspectives, CARE conducts research on the social and medical determinants of successful ageing, and actively engages with government and industry partners to identify needs and strategies to enhance the experience of ageing in Singapore. CARE is a vibrant work place with individuals from diverse academic and personal backgrounds and range of interests, and 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.
(1) Research Assistant (Data Analysis) (CARE/KY)
Date: 8 March 2024
Job Description
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:
- Perform data management including data cleaning, quality and consistency checks, and preparation of codebooks.
- Work with other researchers on interpreting and analysing quantitative data.
- Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
- Conduct follow-up assessments of study participants over the phone.
- Support other project management tasks.
- Assist with other initiatives at CARE where required.
Job Requirements
- Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work, or other related disciplines.
- Prior work experience in quantitative data analysis will be advantageous.
- Possess strong communication and interpersonal skills.
- Able to take initiatives to learn on the job and manage assigned tasks.
- Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.
- 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.
Click
here to apply
(2) Research Assistant (Data Analysis) (CARE/KY)
Date: 6 March 2024
Job Description
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:
- Coordinate project operations and liaise with different stakeholders internally at Duke-NUS and with external research collaborators.
- Conduct data collection, which involves face-to-face survey interviews with older adults. Some survey interviews may have to be conducted after regular office hours or on weekends; time off from regular office hours would be granted in such instances.
- Conduct follow-up assessments on the phone.
- Assist in managing study participants’ data and maintaining proper documentation.
- Assist with other initiatives at CARE where required.
Job Requirements
- Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology, Social Work or other related disciplines.
- Possess strong communication and interpersonal skills, and able to communicate and interact comfortably with older adults.
- Able to take initiatives to learn on the job and manage assigned tasks.
- Motivated, detail-oriented, with the ability to work independently as well as with others in a multi-disciplinary setting.
- Verbal proficiency in at least 2 national languages (English/Mandarin/Malay/Tamil) for performing survey interviews with study participants.
- 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.
Click
here to apply
(3) Research Fellow (CARE/AV)
Date: 19 March 2024
Job Description
In collaboration with ETH Zurich, the Singapore ETH Centre, and the Singapore Eye Research Institute, Duke-NUS Medical School is a partner in the “Future Health Technologies” research programme supported by the National Research Foundation, Singapore. Within this, CARE is implementing the “Assessment of Fall Risk and Fracture: Targeted Assessment and Recruitment of Geriatrics for Effective fall prevention Treatments” (TARGET) study, that aims to develop novel, scalable solutions for screening and assessing the risk of falls among older adults in Singapore. The study involves a baseline survey and home-based as well as clinic-based assessments among a national cohort of older adults, coupled with short quarterly follow-up interviews that collect data on falls post-baseline. We seek to hire a Research Fellow/Senior Research Fellow to join the project.
The successful candidate will perform a variety of research activities including but not limited to the following:
- Undertake quantitative research using the TARGET study data and write academic manuscripts for publication in high-impact scientific journals.
- Contribute to project progress reports and submissions to funding agencies and international collaborators.
- Develop and conduct workshops in quantitative research methods (at least 1 workshop per year).
- Contribute to grant applications and participate actively in CARE’s activities including seminars and workshops.
- Assist with CARE’s other initiatives where required.
Job Requirements
- PhD in Gerontology, Sociology, Epidemiology, Economics, Public Health, Public Policy, or other related disciplines.
- Prior research experience in the area of falls among older adults (such as epidemiology of falls, interventions to prevent falls) will be advantageous.
- Demonstrated skills and expertise in quantitative analysis.
- Possess excellent written and spoken communication skills.
- Motivated, detail-oriented, with the ability to work independently and with others in a multidisciplinary setting.
Job title, salaries and benefits will be commensurate with the candidate’s experience and accomplishments.
Interested applicants should fill up the online application form and attach a CV, a cover letter of interest, and names and contact information of 3 academic referees. Applications will be reviewed on a rolling basis. We regret that only shortlisted applicants will be notified.
Click
here to apply