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Research Associate at Imperial College London

PREpare Overseas

Dec 15, 2023

Closing date: 15 January 2024

We are seeking a Research Associate eager to play a key role in establishing the Defra-UKRI One Health VBD Hub. This post is funded by Defra and the BBSRC for up to 34 months. The Hub has been funded to support and coordinate the UK's response to the escalating threat posed by vector-borne diseases (VBDs). This project team brings together experts in the transmission and control of human and animal VBDs, data sharing, and forecasting of...

  • Reference NAT01588


Job summary

We are seeking a Research Associate eager to play a key role in establishing the Defra-UKRI One Health VBD Hub. This post is funded by Defra and the BBSRC for up to 34 months.

The Hub has been funded to support and coordinate the UK's response to the escalating threat posed by vector-borne diseases (VBDs). This project team brings together experts in the transmission and control of human and animal VBDs, data sharing, and forecasting of complex systems to establish a Hub which will enhance the links between data collection, analysis, and policy making. A key component of the Hub project will be creating tools for visualising VBD data, pulling together data from multiple repositories, and linking those data appropriately with environmental datasets.

You will benefit from access to an impressive set of advisors (both formal and informal) and many opportunities for networking across academic, industry, and government sectors. As part of the post, the project team will create a personalised development plan for you, to support your development as an independent researcher. This will include opportunities for training in both “soft” (networking, communication, and interviewing) as well as “hard” (data management, bias reduction, and data homogenization) skills.



Essential requirements



  • Hold, or be near completion of, a PhD in biological  sciences,  epidemiology,  infectious  disease,  ecology  or a related discipline


  • Experience in developing code in R, Python, or similar in the Unix environment


  • Experience in visualisations of data, particularly on maps


  • Experience with GIS and spatially-explicit data


  • Practical experience within a research environment including publishing research articles


  • Knowledge of approaches for predicting the transmission dynamics of vector-borne diseases and other complex ecological systems


  • A working knowledge of data management and security.


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