We are recruiting a postdoctoral research scientist to lead modelling and data analytics research on wastewater surveillance for viruses with pandemic potential.

The world has never been at greater risk of new infectious disease pandemics. Global surveillance for emerging zoonotic viruses is inadequate to protect against this risk, especially in low-income populations that are at the highest risk. Wastewater surveillance potentially offers a scalable surveillance tool for the detection of spillover infection and human transmission of viral families of concern. We are funded by the Bill & Melinda Gates Foundation to establish the Wastewater Surveillance for Pandemic Prevention (WaSPP) network. This network will develop and pilot wastewater surveillance strategies, laboratory methods and analytical tools in Africa and Asia. Our protocols and software will be available to the community to allow wider testing and sustained implementation.

A critical part of the WaSPP research agenda will be the development of math models and analytical tools to determine the target product profile for wastewater surveillance (WS) for each viral family considered at high risk of causing the next pandemic, to model the public health value of WS and to support the analysis of epidemiologic and genomic data from WaSPP pilots in Africa and Asia. This will include the design of optimal WS sampling strategies and comparison of its potential sensitivity with clinical surveillance.

This is an exciting opportunity to join a three-year project and would suit a biologist, mathematician or statistician with research experience in infectious disease epidemiology and the ambition to advance global public health. In the first year, the successful candidate will develop mathematical models of spillover infection and transmission of prototype viruses representing viral families concern to support the development of target product profiles for WS. They will also help develop candidate virus panels and design WS characteristics for testing in WaSPP network countries based on risk maps for each viral family. They will subsequently support the analysis of WS data following pilot implementation, including refinement of mathematical models and the development of appropriate analytical pipelines and tools.

The post offers substantial opportunities for publication of high impact research and engagement with centres of excellence in the UK and in countries at high risk of pandemic virus emergence. The successful applicant will work in the Vaccine Epidemiology Research Group (VERG) within the Department of Infectious Disease Epidemiology and MRC Centre for Global Infectious Disease Analysis. VERG consists of epidemiologists and laboratory scientists working on the epidemiology and immunology of viral and bacterial pathogens, with a particular interest in vaccines and genomics. We are a highly collaborative group with an international reputation.

Key objectives are as follows:

Develop mathematical models of infectious disease spillover from animal populations and the potential sensitivity of wastewater surveillance compared with clinical surveillance for viruses identified by WHO as high risk for causing a pandemic Review and evaluate the geographic distribution of pandemic risk for different viral families to co-design country or region-specific wastewater surveillance panels in collaboration with collaborating institutes and government agencies To collaborate with national and international partners in Africa and Asia on statistical and math model based inference from wastewater surveillance data, including the development of methods where needed To submit publications to online archives and peer-reviewed journals To interact with other members of the research group and with our national and international partners

Essential Requirements:

For appointment to Research Associate, you should hold a PhD in infectious disease epidemiology, biology, biomathematics or a related quantitative discipline with strong analytical skills and an interest in infectious disease epidemiology and/or vaccine research. Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.

Experience working with mathematical and/or statistical models, programming in R or similar language (. python), and a strong interest in infectious disease are essential for the post.

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 as well as opportunities for promotion and progression Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).