Research Associate (Epidemiology and Modelling)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Epidemiology-and-Modelling%29/33196-en_GB/?st=8BBC1E9510488D1EBDE40715BA0979C8232077DA

We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking multiple determined full-time Research Associate(s) to join a new group led by Dr Angkana T Huang.

Successful candidates will have the opportunity to work on one of several research projects using computational methods to understand the mechanisms underpinning the ecology and evolution of dengue and related arboviruses across Asia and globally. The long-term goal is to generate insights that enable interventions to be better designed, more effectively deployed, and resilient to an ever-evolving infectious disease landscape. Candidates with ambitions to define and pursue independent research questions of mutual interest are strongly encouraged to apply.

Research in the group spans a broad and multidisciplinary scope, for example:

• Macro-processes reshaping who gets infected and when
• The molecular basis of differences in virus properties, such as antigenicity
• Development and validation of computational methods to infer epidemiological quantities

Embedded within the Centre for Epidemic Research and Modelling (CERM) at SSHSPH, researchers will work among a community of motivated, purpose-driven scientists collaborating closely with regional partners and world-leading international collaborators.

Major duties and expectations:
All appointees:
• Conduct and contribute to the design, execution, and interpretation of research projects
• Perform computational analyses, including data processing, modelling, and interpretation of results
• Contribute to the preparation of manuscripts, reports, and presentations
• Participate in team meetings and collaborations with internal and external partners
• Critically appraise evidence and their own results with intellectual honesty, and engages constructively with differing perspectives

Qualifications

All appointees:
• Proficiency in at least one programming language, such as Python or R
• Experience with mathematical or statistical modelling
• Excellent written and verbal communication skills
• Highly organised, with the ability to work effectively both independently and as part of a team

Research Associate:
• Master’s degree or equivalent experience in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious Disease Modelling, or a closely related field

The grade of appointment will be accorded based on qualifications and work experience. Interested applicants are invited to apply directly at our NUS career portal with the documents below. For further enquiries, please contact Dr Angkana T. Huang via [email protected].
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing names and contact details of three named referees

We are committed to open science, equitable partnerships, and scientific rigour. Candidates who share these values are strongly encouraged to apply.