The VALIDATE Network - Vaccine development for complex intracellular neglected pathogens
Research Assistant or Associate in Epidemiology - Imperial College London, 2019
7 August 09:00
Deadline: 7 Aug 2019
Salary: £34,397 plus benefits
Full time, fixed term
Applications are invited for the post of Research Assistant or Associate to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London.
We are seeking an excellent recent PhD graduate or postdoctoral researcher to work on the epidemiology of poliovirus, including statistical, GIS and model-based analysis of global surveillance data maintained by the WHO.
This post is funded by the Bill and Melinda Gates Foundation and focuses on the epidemiology of wild-type and vaccine-derived polioviruses and the impact of different surveillance and vaccination activities. This work will provide the evidence base for strategic decisions by the Global Polio Eradication Initiative (GPEI) and involves close liaison with WHO, Gates Foundation, and our research partners in low- and middle-income countries.
Duties and responsibilities
You will work in the Vaccine Epidemiology Research Group led by Prof Grassly, a WHO Collaborating Centre for polio data analysis and modelling. You will have access to excellent peer support from with other members of the Department of Infectious Disease Epidemiology and the MRC Centre for Global Infectious Disease Analysis.
The post would be especially suited to someone with experience in epidemiological analysis or mathematical modelling of infectious disease data but we will also consider applications from enthusiastic individuals with appropriate mathematical, statistical or biological skills. You will be expected to produce high quality research, submit publications to scientific journals, attend and present at conferences and attend meetings with researchers and policy-makers relevant to the field.
Applicants should have a PhD or be about to complete a PhD in epidemiology or related quantitative discipline with ability to implement advanced statistical methods in R or similar programming language. You should have an enthusiastic interest in infectious diseases and excellent communication skills.