Research Assistant (LCPC/ CM)

National University of Singapore; Singapore; On-site; SGD 39,060 - 55,800; Full time

Job summary

National University of Singapore is seeking a Research Assistant to join the Lien Centre for Palliative Care. In this role, you will conduct advanced quantitative analyses using large-scale datasets and apply econometric and statistical methods to evaluate healthcare outcomes. The ideal candidate should possess a Bachelor’s or Master’s degree in a related quantitative field and have strong skills in statistical software, along with the ability to work collaboratively with multidisciplinary teams. The position is based at the Outram Campus and offers an opportunity to contribute to significant research in palliative care.

Qualifications

• Strong knowledge in advanced statistical/econometric analysis.
• Prior experience working with large datasets.
• Able to work independently and collaboratively.

Responsibilities

• Conduct advanced quantitative analyses using large-scale datasets.
• Apply econometric and statistical methods to evaluate healthcare utilisation.
• Collaborate with multidisciplinary teams including clinicians and data scientists.

Skills

Statistical software (e.g., R, Stata, SAS)

Advanced statistical/econometric analysis

Data analysis

Analytical skills

Writing skills

Communication skills

Education

Bachelor’s/Master’s Degree in Economics, Statistics, Public Health or related field

Job description

Job Title: Research Assistant (LCPC/ BI)

University-Level Unit: Duke-NUS Medical School

Faculty/Department-Level Unit: Office of Research

Employee Category: Research Staff

Location: Outram Campus

Posting Start Date: 20/04/2026

Job Description

The Lien Centre for Palliative Care (“LCPC”) in Duke-NUS Medical School aims to be the premier palliative care research and educational centre in the region. With generous support from the Lien Foundation, strategic collaborations with the National Cancer Centre Singapore and the broader SingHealth institutes within the SingHealth Duke-NUS Academic Medical Centre, LCPC is poised for significant growth in the coming years.

Key Responsibilities

• Conduct advanced quantitative analyses using large-scale datasets (e.g., administrative, registry, electronic health records)
• Apply econometric and statistical methods to evaluate healthcare utilisation, outcomes, and policy interventions
• Conduct and contribute to systematic and scoping reviews of literature
• Support study design, data management, and statistical modelling for observational and quasi-experimental and experimental studies
• Contribute to manuscript preparation for high-impact peer-reviewed journals
• Assist with grant preparation, reporting, and research coordination
• Collaborate with multidisciplinary teams including clinicians, data scientists, and policy stakeholders

Job Requirements

• Bachelor’s /Master’s Degree in Economics, Statistics, Public Health or related quantitative field.
• Possess strong knowledge in advanced statistical/econometric analysis.
• Proficient in statistical software (e.g., R, Stata, SAS)
• Prior experience working with large datasets
• Have strong analytical, writing, and communication skills
• Able to work independently and as part of a collaborative research team

Application

Interested Applicants Should Submit:

• Cover Letter
• CV
• Academic transcripts
• Writing sample

We regret that only shortlisted candidates will be notified.

More Information

Location: Outram Campus

Organization: Duke-NUS Medical School

Department: Office of Research

Employee Referral Eligible: No

Job requisition ID: 32521