Full-timeHealthcare & care· Posted 1 Oct

Research Associate/Assistant (Infectious Disease Modelling & AI for Public Health)

NUSFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeKent Ridge Campus, Singapore

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Start: Not stated
Work mode: On-site
Experience: No experience needed

About the role

The Centre for Epidemic Response & Modelling at NUS Saw Swee Hock School of Public Health is hiring two Research Associates/Assistants to support research at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. You will join a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies. One position focuses on computational/statistical modelling, while the other centres on data engineering, visualisation, and software development. Both roles suit candidates aiming to build a research track record before or alongside a PhD.

What you'll do

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Implement and test statistical and computational models for infectious disease dynamics, such as compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on your profile.
Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
Develop data visualisation tools and contribute to interactive surveillance dashboards.
Support the preparation of manuscripts, reports, conference presentations, and workshops.
Collaborate with internal team members and external partners across institutions and countries.
Contribute to code documentation and reproducible research workflows.

Good to know

Exceptional candidates may have the opportunity to pursue a PhD at NUS.
The group supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.
The postholder will work with Asst. Prof. Swapnil Mishra and engage a network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, CDA, NEA, MLGH, and wider regional and global partners.

Requirements

For Research Associate: Master's degree in statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related field, plus two years of relevant work experience.
For Research Assistant: Bachelor's degree with strong analytical training; no experience required.
Solid quantitative background.
Proficiency in Python and/or R.
Ability to work with real-world datasets and communicate findings clearly in writing and presentations.
Demonstrated ability to work independently and as part of a team.

Research Associate/Assistant (Infectious Disease Modelling & AI for Public Health)

About the role

What you'll do

Good to know

Requirements

Benefits

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