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Jobs in Singapore   »   Jobs in Singapore   »   Education / Training Job   »   Research Assistant (Health Technology Assessment)
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Research Assistant (Health Technology Assessment)

National University Of Singapore

National University Of Singapore company logo

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.


We regret that only shortlisted candidates will be notified.


Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant (Health Technology Assessment)


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 support work on health technology assessment (HTA).


The Research Assistant 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 organizing and conducting workshops in the region. As a Research Assistant 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 bachelor’s degree in related field such as Biostatistics/ Engineering/ Economics/ Pharmacy/ Public Health/ Computer Science.


Applicants with following experiences and skills are preferred:
• Experiences in HTA of pharmaceutical industry applications/ drugs submission regulations and the review processes
• Data management using electronic medical records, clinical trial data, survey data, and observational data.
• Systematic review and meta-analysis

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