Job Description

Job Title:

Research Fellow / Research Associate (Population-Based Modelling)

Posting Start Date:

27/08/2025

:

Project:

Modelling the Impact of Obesity Prevention and Management Strategies within Regional Health Systems



The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is inviting applications for a

Research Fellow

or

Research Associate

to contribute to a collaborative project between NHG and NUHS. This project focuses on developing a population-based modelling framework to evaluate the effectiveness, cost-effectiveness, and equity impact of obesity prevention and management strategies across Singapore's Regional Health Systems.



This role offers an opportunity to work at the interface of population health research, policy, and systems modelling, collaborating closely with clinicians, public health leaders, and community partners to co-design strategies that improve population outcomes and reduce the burden of obesity in Singapore.

Key Responsibilities

Lead or support the design and implementation of a modelling framework to estimate the population health and economic impacts of obesity prevention and management interventions Conduct literature reviews and synthesise evidence on intervention effectiveness, reach, and cost, prioritising local data where available Collate and analyse quantitative datasets from multiple sources, including regional health system records, and integrate findings into the model Coordinate stakeholder engagement activities, including workshops, focus groups, and Practitioner Advisory Group consultations Prepare manuscripts for academic publication and contribute to project reports, policy briefs, and funding deliverables

Terms of Appointment

Full-time position based in Singapore Initial appointment for

12 months

, with the possibility of extension depending on performance and project needs Salary will be

competitive

and

commensurate with qualifications and experience

To Apply

Please submit through the NUS recruitment portal:

1. A cover letter outlining your background, motivation, and fit for the role (max 500 words)

2. A two-page CV including the names and contact details of two referees

3. A writing sample (e.g., academic paper, policy brief, or analytic report)



Applications will be reviewed on a rolling basis until the position is filled. Shortlisted candidates will be contacted for an interview.

Qualifications

Qualifications

Research Associate

: Master's degree in

public health, epidemiology, health economics, biostatistics

, or a related field

Research Fellow:

PhD in one of the above disciplines Strong quantitative skills, ideally including familiarity with

decision-analytic modelling, Markov models, DALYs, or HALE-based outcomes

Excellent written and verbal communication skills, with the ability to work effectively in an

interdisciplinary, multi-stakeholder environment

Desirable Attributes

Prior experience in

health economic modelling

or

population health impact analysis

Proficiency in statistical or modelling software (e.g.,

R, Stata, Python,

or

TreeAge

) Familiarity with qualitative research methods and software (e.g., NVivo, Atlas.ti) Experience working in healthcare, public health, or community health settings Interest in

population health, obesity prevention, health systems design,

and

health policy

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 : 30158