**Job Description**
We are seeking a Research Fellow to join a new group within the Centre for Epidemic Research and Modelling (CERM) at Saw Swee Hock School of Public Health at the National University of Singapore (NUS), led by Professor Azra Ghani. You will lead research in the development and application of within-host mathematical models to understand the long-term dynamics of natural and vaccine-induced immunity to pathogens. This includes developing a suite of models to test hypotheses regarding the durability of acquired immunity through natural infection, vaccination, or in combination (hybrid immunity). This project is part of a multi-country collaborative initiative focused on developing novel immunological assays for viral surveillance, involving teams from Singapore, Vietnam, Cambodia, and the UK. The Research Fellow will work closely with the modelling teams at NUS (directed by Dr Hannah Clapham) and Imperial College London / Imperial Global Singapore (directed by Professor Azra Ghani), and will benefit from joining an established team of mathematical modellers and epidemiologists at CERM.
**Skills & Abilities**
• Strong programming skills, ideally with experience in R/R packages and GitHub as a collaborative coding environment
• An ability to communicate technical scientific results verbally and in written formats to an interdisciplinary team
• The ability to work effectively independently and as part of a team
• Ability to interact with policy makers and other stakeholders
• Excellent verbal and written communication skills
**Qualifications**
Required Degree(s) in:
• Infectious disease epidemiology
• Mathematical modelling
• Statistics
• Related subject or a similar quantitative discipline
**Experience**
Other:
• Experience in mathematical modelling methods used to analyse infectious diseases
• Track record of publication in peer-reviewed journals commensurate with experience
Note: We’ve analyzed the actual job post using AI, for more details visit the original job post by clicking on “Apply Now”!
