Research Assistant, Real-World Health Outcomes Research
- NATIONAL UNIVERSITY OF SINGAPORE
- 06 Mar 2023
- End of advertisement period
- 05 Apr 2023
- Academic Discipline
- Business & Economics, Economics & Econometrics, Clinical, Pre-clinical & Health, Medicine & Dentistry, Other Health & Social Care, Physical Sciences, Mathematics & Statistics
- Contract Type
- Fixed Term
- Full Time
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health
RESEARCH ASSISTANT IN REAL-WORLD HEALTH OUTCOMES RESEARCH
We are seeking a Research Assistant to join a multi-disciplinary research team to conduct real-world data-based health outcomes research work in particular in the area of predictive risk modelling and disease economic burden.
The position provides the candidate a great opportunity to develop big health data management and analytic skills, in particular in health administrative data and international clinic registries, and work with international experts in respiratory medicine, health economics, industry and policy regulators. The job holder will be involved in research projects related to health services and economic burdens of chronic diseases and machine-learning risk predictive modelling. The job holder will be an integral part of several research projects with responsibilities including: data management, data analysis, and preparation of scientific papers. The job holder will work closely with Assistant Professor Chen Wenjia, as well as local, regional, and international experts in health economics and outcomes research, respiratory medicine and public health agency.
This full-time position is based at the Tahir Foundation Building at National University of Singapore. The position has a 1 year of contract in the first instance and could be extended.
- Bachelor degree in statistics, applied math, applied economics or public health/epidemiology.
- Very good statistical skills in data management and data analysis.
- At least 1 year of hands-on experiences in data management and analysis using standard software programs such R, Stata, SAS, python.
- Very good written and oral communication skills.
- Fluent in English.
Applicants should include a CV, 1-2 page cover letter, list of publications (if applicable), and the names and email details of 2 referees who may be contacted immediately if shortlisted.
Recruitment is open immediately, and will continue until all positions are filled.
For further enquiries, please contact Dr Chen Wenjia at firstname.lastname@example.org.
Please note that only shortlisted candidates will be contacted.
Bachelor degree in statistics, applied math, applied economics or public health/epidemiology.
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.