Research Associate at Imperial College London

Applicants are invited to apply for a Postdoc position at Imperial College London. Citizens of any country are eligible to apply. Applicants should apply before October 14, 2018.

The Department of Life Sciences was the top ranked university department in the UK for research intensity in Biological Sciences in REF2014 Times Higher Education, scoring 100% on our environment.

Based at the South Kensington campus of Imperial College London, the Vector ImmunoGenomics and Infection Laboratory (VigiLab) uses both experimental and bioinformatics research techniques to understand mosquito-pathogen interactions as the basis for developing control measures for diseases such as malaria, dengue and Zika. The lab is also one of three international partners responsible for VectorBase, a bioinformatics web resource for vectors of human disease.

The successful applicant will join the VectorBase team at Imperial College London and lead the continued development of the map-based query and data visualisation interface to its population biology database (see The tool is entirely based on open source components including Leaflet, d3.js, Apache Solr. The role has lots of potential for creative problem solving in complex and high-volume web-based data visualisation.
- To extend the capabilities of VectorBase's population biology map some or all (but not limited to) of the following areas:

o Introduce new plot types as appropriate. For example, treemaps as an improvement over pie charts to leverage ontology-based data annotations.

o Enhance the map as an analytical tool, enabling the selection of multiple sets of data and performing statistical tests between them.

o Improve the visualisation of through-time data.

o Visualisation of chromosomal inversion genotypes, microsatellite data, blood meal species identifications, and pathogen infection phenotypes.

o Provide an option to visualise quantitative data as choropleth maps, heatmaps, contours etc, and allow these to be shared, stored, compared and correlated with each other, with appropriate statistics.

o Integrate the resource with third-party data sources (pathogen distribution, land usage, climate data) to enable display and co-query with VectorBase data.
- To develop data analysis methods for visualising very large genomic variation datasets in both genomic and geographic space.
- To document code and data analysis procedures.
- To prepare progress reports as required to the project and its funders.
- To work with biologists and curators to understand the data.
- PhD in bioinformatics or population genetics

You must be able to demonstrate:

Experience of:
- Web-based data visualisation with d3.js, p5.js or equivalent libraries
- working with maps and/or geographic information systems (GIS)
- with user interface development for complex scientific data
- working with revision control and issue tracking systems in a multi-user environment
- working with Linux commandline, deploying code and data to remote servers, bash scripting

Knowledge of:
- population genetics
- variation data analysis pipelines
- basic statistics
- Web development with JavaScript, HTML and CSS
- Perl or python scripting for data preprocessing

This is a full time, fixed term post up to 15 September 2019.

Should you have any queries please contact:

Dr Bob MacCallum

Prof George Christophides

Should you have any queries about the application process please contact Peggy Baker by email at and refer to the job reference number NAT00269.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment DORA, which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College's care are treated with full respect, and that all staff involved with this work show due consideration at every level.


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