Research Assistant or Research Associate (Malaria Genomic Epidemiology)

Job summary

An exciting new opportunity has arisen in the MRC Centre for Global Infectious Disease Analysis to join a project that focusses on strengthening malaria genomic surveillance capabilities. Genomic surveillance is a branch of epidemiology where signals in the genome of the pathogen are used to provide information to control programmes that can help with decision making, for example prioritising resources.

The project, funded by the Bill & Melinda Gates Foundation, aims to:

  1. complete development of the SIMPLEGEN pipeline for exploring genomic sampling designs through simulation,
  2. to use this pipeline to establish best practices for genomic surveillance geared to specific research questions,
  3. to engage with partners in malaria endemic countries to align priorities and optimise utility of the SIMPLEGEN tool.

Duties and responsibilities

Main research duties will be to:

  • Help write the code base for the SIMPLEGEN pipeline (combination of R and C++).
  • Use SIMPLEGEN to test the power of different sampling designs and downstream analysis strategies with a focus on identifying best practices.
  • Work with partners to develop resources and teaching materials around genomic surveillance and help deliver these materials.

You will work within the MRC Centre for Global Infectious Disease Epidemiology, directed by Professor Neil Ferguson, at Imperial College London which has been at the forefront of infectious disease analytics in the UK since 2007. The Centre contains a large concentration of expertise in genomic epidemiology including faculty working on a range of topics including evolution of antimicrobial resistance, molecular epidemiology, forensics and outbreak investigations, and phylogenetic methodology.

Essential requirements

We are looking for candidates with a PhD (for appointment to Research Associate) or a first / masters degree (for appointment to Research Assistant) in epidemiology, computer science, statistics, mathematics, genetics, bioinformatics, or a similarly quantitative discipline. Coding experience in the R programming language is essential, as is experience working with epidemiological or genomic datasets. Skills in bioinformatics, statistics and transmission modelling are desirable.

Further information

The post is full time and fixed term until 05 July 2024 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

More Information

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