Research Associate, Data Analytics
- Employer
- NATIONAL UNIVERSITY OF SINGAPORE
- Location
- Singapore
- Closing date
- 1 Sep 2022
View more
- Academic Discipline
- Biological Sciences, Computer Science, Economics & Econometrics, Engineering & Technology, Clinical, Pre-clinical & Health, Mathematics & Statistics, Physical Sciences, Life sciences, Business & Economics, Other Health & Social Care
- Job Type
- Research Related, Research Associate
- Contract Type
- Permanent
- Hours
- Full Time
Job Description
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Associate (Data Analytics)
The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire research staff with relevant experience to lead and/ or support work on data analytics.
The Research Associate will play a critical role in the development of the Centre’s growing research agenda to support health policy and services research in Singapore and the region, gaining the opportunity to work with leading experts and policy makers in the field. The successful candidate will be expected to perform research administration, conduct research, disseminate research findings, and be involved in capacity building through conducting workshops for local and regional participants. As a Research Associate of the Centre, you will be presented with various opportunities to further develop your skills to ensure personal growth in your career.
Requirements:
Applicants are expected to possess a Master degree in related field such as Biostatistics/ Statistics/ Engineering/ Economics/ Public Health/ Computer Science.
The following skills are required:
- Knowledge of data analysis (statistics and/ or econometrics)
- Use of software like R or Python or STATA or SQL
Applicants with following experiences and skills are preferred:
- Experience with electronic medical records, clinical trial data, survey data, and observational data
- Health economic modelling with Markov cohort model/ discrete event simulation/ dynamic transmission modelling
- Data management
Qualifications
Applicants are expected to possess a Master degree in related field such as Biostatistics/ Statistics/ Engineering/ Economics/ Public Health/ Computer Science.
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.
Get job alerts
Create a job alert and receive personalised job recommendations straight to your inbox.
Create alert