Academic ConnectResearch Associate in Geospatial Modelling
Job number
MED05322
Faculties
Faculty of Medicine
Departments
School of Public Health
Salary or Salary range
£48,056 - £56,345 per annum
Location/campus
White City Campus - Hybrid
Contract type work pattern
Full time - Fixed term
Posting End Date
29 Jul 2025
About the role
We are aiming to develop novel geospatial modelling approaches to analyse trends in the genetics of malaria transmitting mosquito populations in Sub-Saharan Africa. Our results will inform key policy decisions regarding the optimal deployment of critical malaria control interventions, such as new types of insecticide-treated bednets. You will work within an international team to inform strategic malaria control in collaboration with world-leading research teams in the UK and Cameroon, with links to the WHO.
What you would be doing
Working with cutting-edge methodologies in geostatistics and machine learning, you will analyse a rich data set recording the frequencies of genetic mutations that confer insecticide resistance in wild mosquito samples collected throughout malaria-endemic countries in Sub-Saharan Africa. You will apply open-source models of malaria transmission dynamics developed by our teams (https://github.com/mrc-ide/malariasimulation) to link geospatial predictions of insecticide resistance to malaria disease incidence. Resulting models and maps will identify areas where targeted deployment of novel insecticidal interventions will have maximal malaria control benefit. You will work within an established world-leading team with decades of experience in the mathematical modelling of malaria to inform policy.
What we are looking for
We are seeking a Research Associate with the following characteristics:
- Essential:
- PhD or equivalent in statistics, biostatistics, applied mathematics, computational biology, epidemiological modelling, or a related methodological discipline
- Interests in infectious disease ecology and global public health management
- Desirable:
- Experience in the implementation of mathematical or statistical models and model fitting, including Bayesian model fitting
- Experience of management and analysis of large multidimensional real world data sets
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.
- Opportunities to build your international profile including travel for conferences and workshops.
- 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).
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further information
Our team is part of the malaria modelling group at the Department of Infectious Disease Epidemiology (Malaria Modelling | Faculty of Medicine | Imperial College London).
This role is offered on a full-time, fixed-term basis for one year in the first instance.
If you require any further details about the role, please contact:
Dr Penelope Hancock – p.hancock@imperial.ac.uk.
Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
- download: Job Description Research Associate in Geospatial Modelling.pdf
- download: Employee Benefits Booklet.pdf
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
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About Imperial
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Our Culture
We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.
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