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Jobs in Singapore   »   Jobs in Singapore   »   Education / Training Job   »   Research Fellow in Precision Medicine Health Economics
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Research Fellow in Precision Medicine Health Economics

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 FELLOW IN PRECISION MEDICINE HEALTH ECONOMICS

We are seeking a Research Fellow to join a multi-disciplinary research team to conduct health economics and outcomes research work in particular in the area of predictive risk modelling.

The position provides the candidate a great opportunity to develop big data predictive analytic skills 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 individualized predictive modelling, causal predictive analysis, development of clinical decision support tools and economic evaluations of data-driven precision medicine. The job holder will be an integral part of several research projects with responsibilities including: literature review, 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.

Requirements:

  • Doctorate degrees in statistics, applied math, applied economics or public health/epidemiology.
  • Very good statistical analytic skills in particular in clinical risk prediction, machine learning and causality predictives.
  • At least 4 years hands-on experiences in data management and analysis using standard software programs such R, Stata, python.
  • Very good written and oral communication skills.
  • Fluent in English is required for writing of papers and research findings.

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 [email protected].

Please note that only shortlisted candidates will be contacted.

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