Research Associate, Singapore Wearable-enabled Health Impact Study
- NATIONAL UNIVERSITY OF SINGAPORE
- 20 Mar 2023
- End of advertisement period
- 19 Apr 2023
- Academic Discipline
- Clinical, Pre-clinical & Health, Other Health & Social Care, Life sciences, Biological Sciences, Physical Sciences, Mathematics & Statistics
- Job Type
- Research Related, Research Associate
- Contract Type
- Full Time
The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Associate in the SWISH study. The Singapore Wearable-enabled Health Impact Study (SWISH) aims to assess the impact of HPB wearable-enabled health promotion programmes on the health and health-related behaviours of participants. This project will involve recruitment, assessment, and analysis of the research data.
We’re looking for a Research Associate who is excited to be involved in the evaluation of national-level programmes to help in informing programmes and policies for the improvement of Singapore’s population healthcare. In this role, you will mainly be involved in supporting the coordination, collection, process and management of the data, including monitoring data safety protocols and access in Singapore. You will be assisting with both the intervention and control arm and the economic evaluation of LumiHealth vs. NSC vs. Control group. You will be responsible for compliance and oversight of all merging and matching of data, as well as documenting the various data sources and the matching processes. You will also be responsible for other project support tasks, notably supporting stakeholder meetings, and overseeing manuscript preparation with respect to the description of all data-related management and issues.
The appointed candidate should: (1) hold at least a Master’s degree (2) be proficient in Stata or R and (3) have relevant working experience in statistics, mathematics, computer science, quantitative social science, public health, epidemiology or related field. (4) Experience with academic publication is preferred but not required. (5) Good grasp of research methods and design communication.
The ideal candidate should demonstrate the ability to query large data sets and have excellent knowledge of quantitative methods in applied health and/or social sciences. Fluency in English, as well as demonstrably good writing and analytic skills, are essential. The role will suit someone who enjoys problem-solving.
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.
Location: Kent Ridge Campus
Organization: National University of Singapore
Department : Saw Swee Hock School of Public Health