Research Associate

About the role:

Applications are invited for a Research Associate post in the Department of Infectious Disease Epidemiology based at the White City Campus of Imperial College London. The department undertakes leading interdisciplinary research on infectious diseases, using approaches ranging from molecular epidemiology, through field research, to mathematical studies of transmission dynamics and disease control. A wide range of pathogens are studied in the department, including vector-borne diseases, influenza viruses, several major bacterial pathogens, and a variety of parasitic infections among others. The department offers excellent research facilities and a friendly, intellectually stimulating working environment. The Research Associate will be responsible for supporting the Wellcome-funded xSTAR project which aims to generate new evidence on arbovirus transmission across 8 African countries using a novel multiplex assay and develop analytical tools for the analysis and interpretation of these data.

What you would be doing:

You will focus on the development of mathematical and statistical models which will be fitted to the multidimensional antigen-specific IgG data generated in the project using state of the art inferential methods and the high-performance computing facility of the MRC-GIDA and Imperial College.

In particular, you will be responsible for:

• The development of mathematical models for the analysis of seroprevalence data
• The development of code and Bayesian inferential frameworks for model calibration
• Ensuring that the data used is accurate, up-to-date and complete
• The interpretation of results and effective communication, visually, orally and written
• Leading high-impact manuscripts through the peer-review process
• Representing xSTAR attending meetings and committees as required
• Promote the reputation of xSTAR, the research group, MRC-GIDA, School of Public Health, and Imperial College.

What we are looking for:

• A Masters degree in a scientific area related to infectious diseases or similar subject with a strong background in advanced analytics.
• Experience in the development of mathematical and statistical models, implementation of Bayesian methods for parameter inference and R programming are essentials.
• Experience in management and analysis of epidemiological data, in the use of machine learning/AI and working as part of international teams are desired.

What we can offer you:

• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

Further Information

This role is offered on full time fixed term basis until 30 June 2027 in the first instance.  Part time/flexible working options will be considered and can be discussed at interviews.

If you require any further details on the role, please contact: Ilaria Dorigatti - i.dorigatti@imperial.ac.uk

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