Research Associate (Risk Prediction and Clinical Decision Support Analysis)

National University of Singapore; Singapore; On-site; SGD 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Research Associate or Fellow to join a dynamic team focused on health economics and outcomes research. This exciting full-time role offers the chance to develop big data predictive analytic skills while collaborating with international experts. The successful candidate will engage in projects involving individualized predictive modeling and causal analysis, contributing to the development of clinical decision support tools. This position promises an enriching experience in a vibrant academic environment, perfect for those passionate about making a significant impact in public health research.

Qualifications

• MSc and Doctorate degrees in relevant fields required.
• 4+ years of hands-on experience in data management and analysis.

Responsibilities

• Conduct health economics and outcomes research.
• Involved in literature review, data analysis, and scientific paper preparation.

Skills

Statistical Analytic Skills

Clinical Risk Prediction

Machine Learning

Causality Predictives

Data Management and Analysis

Communication Skills

Fluency in English

Education

MSc in Statistics

Doctorate in Applied Math

Doctorate in Applied Economics

Doctorate in Public Health/Epidemiology

Tools

R

Stata

Python

Job description

Company Description
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore.

Job Description
Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health. We are seeking a Research Associate or 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, and development of clinical decision support tools. 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

1. MSc and Doctorate degrees in statistics, applied math, applied economics or public health/epidemiology.
2. Very good statistical analytic skills in particular in clinical risk prediction, machine learning and causality predictives.
3. At least 4 years hands-on experiences in data management and analysis using standard software programs such R, Stata, python.
4. Very good written and oral communication skills.
5. Fluent in English, as the candidate will be required to prepare scientific papers and work closely with local, regional, and international experts.

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.
Please note that only shortlisted candidates will be contacted.

More Information

Location: Kent Ridge Campus

Organization: Saw Swee Hock School of Public Health

Department: Saw Swee Hock School of Public Health

Employee Referral Eligible: No

Job requisition ID: 28148

Contact List for Further Enquiries
Hiring Manager: Dr Chen Wenjia
Hiring Manager Email: [e-mail]