Research Fellow in Zika Modelling

London School of Hygiene & Tropical Medicine - Faculty of Infectious & Tropical Diseases

Two multi-centre international consortia, Zikalliance and ZikaPLAN, have been funded by the EU to conduct a broad range of epidemiological studies on Zika which will generate new data on incidence, seroprevalence and the contribution of the virus’ different vector species. LSHTM plays a unique role with members in both consortia and the School has a strong track record of translating insights gained from such studies into real world public health action.

The post will play a key role in analysing and modelling new data generated by both consortia to assess the relative importance of the mosquito species Aedes aegypti and Ae. albopictus to Zika transmission and to estimate the potential for future Zika outbreaks in Latin America. This will involve the development, fitting to field data and application of a variety of mathematical and statistical models of mosquito population dynamics and infectious disease transmission. These models will be applied at large spatial scales meaning strengths in analysis of large datasets, efficient coding practices and a working understanding of geographic information systems would be highly desirable skills.

We are seeking a quantitatively minded person with an interest in epidemiology to integrate with a diverse team with existing expertise in infectious disease dynamics, model fitting and application of modelling for public health policy. The successful candidate will be a self-motivated, independent, self-starter who is attune to the current public health emergency that Zika presents and able to rapidly respond to existing public health needs while also developing longer-term high quality modelling outputs. The post-holder will also be able to develop collaborations both within and beyond LSHTM and the two Zika consortia to apply developed modelling methods to the wealth of new data on Zika that is becoming increasingly available.

The post holder will hold a PhD in mathematical modelling, statistics, bioinformatics, medical geography or computational Biology, proficient knowledge of and ability to use modelling packages and a willingness to work with collaborators and conduct training.

The appointment is funded by the EU until 30 September 2019. The salary will be on the Academic Pathways Grade 6 scale in the range £37,889 to £43,028 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service.  Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available. The post will be based in London at the London School of Hygiene and Tropical medicine.

Applications should be made on-line via our website at http://jobs.lshtm.ac.uk. Applications should also include the names and email contacts of 2 referees who can be contacted immediately if shortlisted.  Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk. Please quote reference ITD-DCD-20.

The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.

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