Research Fellow (Quantitative)

National University of Singapore; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading academic institution in Singapore is seeking a Research Fellow with a quantitative background for ongoing public health research. The ideal candidate will have a PhD in a relevant discipline and strong programming skills, particularly in R. Responsibilities include disease modelling, statistical analysis, and academic publication. This role supports significant career progression and offers the opportunity to lead unique research projects within a diverse team.

Qualifications

• Candidates must have a PhD in statistics, mathematics, computational biology, or data science.
• Strong programming skills in R are preferred; competence in Bayesian statistics is advantageous.

Responsibilities

• Conduct disease modelling and statistical analyses.
• Write academic publications and prepare meeting materials.
• Lead projects and co-supervise junior team members.

Skills

Statistical modelling

R programming

C++

Python

Analytical skills

Education

PhD in a quantitative discipline

Job description

Job Title: Research Fellow (Quantitative)

Posting Start Date: 19/03/2025

Job Description

Applications are invited for the following full‑time position in the Saw Swee Hock School of Public Health: Research Fellow. We are looking for research fellows with a quantitative background for ongoing research in Public Health. They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent‑based/individual‑based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression. The Principal Investigator(s) is seeking an independent worker who is well‑organised, analytical and codes competently. They will, however, be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team’s guidance, they will be expected to lead their own publications. We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self‑motivation to showcase their problem‑solving abilities.

Responsibilities

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders
• Leadership and co‑supervision

Requirements

• Completed a PhD in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R Preferred). Statistical competence (Bayesian is advantageous).

Please email the PI at [e-mail] for further details and to arrange an interview.

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 : 24919