LASER are hiring: Research Assistant - Epidemiology and GIS

This is an exciting opportunity to work on a spatial analysis of changing agro-ecosystems and health outcomes, as part of the new “Improving Human Health” (IHH) flagship of the CGIAR’s Agriculture for Nutrition and Health programme. This analysis brings together geo-spatial agricultural and health datasets to explore relationships between changes in agro-ecosystems and vector-borne disease, with a particular focus on Africa.

 

Primary responsibilities of the post-holder include to collate relevant datasets into a standardised geodatabase, and develop an analytical framework to explore spatio-temporal relationships between agricultural and health outcomes, with a primary focus on malaria and its association with irrigated crops. The post-holder will also play a key role in analysing results and disseminating findings to stakeholders, including writing for publication.

 

The successful candidate will have an MSc level qualification in epidemiology or a related discipline, plus experience using GIS platforms to manage, visualise and analyse spatial data; familiarity with handling large datasets and conducting epidemiological analyses of infectious diseases using Stata or R. Experience implementing geostatistical analysis approaches would be an advantage, as would a keen interest in One Health, biology and ecology of disease vectors, agriculture mapping and/or epidemiology of vector-borne diseases. Further particulars are included in the attached job description.

 

This is a full-time appointment funded by DFID for a 12-month period, in the first instance, with a possibility for further renewal. Salary is on the Academic Pathway Grade 6 from £33,567 to £38,533 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. 

 

Applications should be made on-line via LSHTM's website at http://jobs.lshtm.ac.uk. Applications should include a CV and the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Any queries regarding the application process may be addressed to jobs [at] lshtm.ac.uk, quoting the job reference ITD-DCD-43.

 

The supporting statement section should set out how your qualifications, experience and training meet each of the 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. Answers to any of the criteria such as "Please see attached CV" will not be considered acceptable. 

 

Please note that if you are unable to attend the interview we may be unable to offer an alternative date.