Research Assistant (Quantitative)

National University of Singapore; Singapore; On-site; SGD 33,480 - 55,800; Full time

Job summary

A leading educational institution in Singapore is seeking a Research Assistant (Quantitative) to support ongoing public health research. The successful candidate will engage in disease modelling and statistical analyses while working closely with a diverse team of collaborators. Applicants should hold a BSc in a quantitative discipline and possess strong programming skills in R. This full-time role offers the opportunity for academic development and co-leading publications.

Qualifications

• Completed a BSc in statistics, mathematics, computational biology, or data science.
• Strong programming skills, preferably in R.
• Statistical competence, with Bayesian knowledge as an advantage.

Responsibilities

• Conduct disease modelling.
• Perform statistical analyses.
• Engage in academic writing and publication of results.
• Prepare meeting materials for stakeholders.

Skills

Statistical modelling understanding

Mathematical background

Fluent in R programming

C++ or Python knowledge

Education

BSc in a quantitative discipline

Job description

Job Title: Research Assistant (Quantitative)

Applications are invited for the following full‑time position in the Saw Swee Hock School of Public Health: Research Assistant.

We are looking for research assistants 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‑organized, 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 co‑lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire 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

Requirements

• Completed a BSc 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