Research Associate in Infectious Disease Epidemiology
Imperial College London - Department of Infectious Disease Epidemiology
|Salary:||£36,070 to £43,350|
|Contract Type:||Contract / Temporary|
|Placed on:||20th March 2017|
|Closes:||9th April 2017|
School of Public Health
Salary Range: £36,070 - £43,350 per annum
We are looking for a Research Associate to work within the Department of Infectious Disease Epidemiology, within the School of Public Health at Imperial College London, St Mary’s Campus (Paddington). The position will be supervised by Professor Maria-Gloria Basáñez and Dr Martin Walker (Honorary Lecturer at Imperial College London).
The project is part of the Neglected Tropical Disease (NTD) Modelling Consortium (www.ntdmodelling.org) and is funded by the Bill & Melinda Gates Foundation. The aim of the project is to understand where the World Health Organization’s 2020 elimination goals for onchocerciasis (river blindness) can be met with current treatment strategies (Community directed treatment with ivermectin, CDTi) and what measures can be implemented to accelerate progress towards elimination in those areas where current strategies are insufficient. This question will be addressed using mathematical transmission models of onchocerciasis to simulate the impact of large-scale intervention strategies based on mass drug administration with ivermectin and other new and emerging complementary strategies.
The person to be appointed to this job will: a) use an exisiting age-structured deterministic mathematical transmission model (EPIONCHO) to simulate intervetions based on CDTi to identify transmission settings and programmatic scenarios where elimination is either likely or unfeasible within the proposed elimination timelines; b) further develop EPIONCHO to simulate the impact of alternative treatment strategies on accelearting progress towards elinination; c) contribute to the ongoing development of an individual-based analogue of EPIONCHO to model the impact of interventions orientated towards the infection status of individuals within endemic communities (such as test-and-treat strategies), and d) conduct detailed model comparison analyses with our NTD Modelling Consortium partners at Erasmus Medical Center (Rotterdam, Netherlands) who use an alternative tranmssion model, ONCHOSIM.
It is essential the applicant has a good first degree or equivalent – e.g. BSc in Biology, Ecology, Mathematics, Statistics or other appropriate discipline; a PhD in Infectious Disease Epidemiology or other appropriate discipline. Knowledge of vector-borne and parasitic diseases, of basic research methods and of mathematical and statistical techniques is also essential to this role. The applicant will need to show willingness to learn new techniques in statistics and mathematical modelling and have advanced computer skills – including proficient use of the modelling software Berkeley Madonna, R, Python, C/C++ or other approprorate languages for statistical and high performance computing, all Microsoft packages and the Internet.
This post is available on a full time fixed term until 28 February 2018 and will be based at the St Mary’s Campus in Paddington, London.
For informal enquiries please contact Mrs Patricia Murphy, Patricia.firstname.lastname@example.org
Our preferred method of application is online via our website at www.imperial.ac.uk/job-applicants (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM032-17KO.
Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.
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