Applications are invited for the post of Research Associate to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London. We are seeking an excellent postdoctoral researcher to work on the epidemiology and mathematical modelling of poliovirus transmission, including analysis of global surveillance data maintained by the WHO. This post is funded by the Bill and Melinda Gates Foundation and...
Job listing information
- Reference MED01167
- Date posted 2 April 2019
- Closing date 5 May 2019
Applications are invited for the post of Research Associate to join the Department of Infectious Disease Epidemiology in the School of Public Health at Imperial College London.
We are seeking an excellent postdoctoral researcher to work on the epidemiology and mathematical modelling of poliovirus transmission, including 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 vaccine-derived polioviruses in Africa and the impact of different surveillance and vaccination activities.
Duties and responsibilities
You will work closely with the polio team in the vaccine epidemiology research group and 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. You will also communicate and meet with task teams from the GPEI and with staff at the Bill and Melinda Gates Foundation.
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 PhD in epidemiology or related quantitative discipline with ability to implement advanced statistical methods in C/C++, R or similar programming language. Ability to code in these or similar programming languages is desirable as is the ability to interpret, analyse and plot GIS data in R, ArcGIS or similar.
This post is full time, fixed term until 30 November 2020, and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.
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About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.
Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
All Imperial employees are expected to follow the 7 principles of Imperial Expectations:
- Champion a positive approach to change and opportunity
- Communicate regularly and effectively within, and across, teams
- Consider the thoughts and expectations of others
- Deliver positive outcomes
- Encourage inclusive participation and eliminate discrimination
- Develop and grow skills and expertise
- Work in a planned and managed way
In addition to the above, employees are required to observe and comply with all College policies and regulations.
Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
Athena SWAN Silver Award 2016
We renewed our Silver in the April 2016 submission round. Recognising advancement of gender equality.
Disability Confident leader
Imperial is a Disability Confident leader
Imperial is working in partnership with GIRES to promote respect and provide equal treatment for trans people