Applications are invited for the post of Research Fellow to work on a UNAIDS-supported project development and implementation of modelling tools for district-level HIV estimates in sub-Saharan Africa. Every year, UNAIDS supports countries to develop official estimates of their HIV epidemics and coverage of key interventions. These estimates form official national estimates of HIV policy and planning and are used for globally reported HIV...
Job listing information
- Reference MED01833
- Date posted 19 May 2020
- Closing date 16 June 2020
Applications are invited for the post of Research Fellow to work on a UNAIDS-supported project development and implementation of modelling tools for district-level HIV estimates in sub-Saharan Africa. Every year, UNAIDS supports countries to develop official estimates of their HIV epidemics and coverage of key interventions. These estimates form official national estimates of HIV policy and planning and are used for globally reported HIV statistics. This project will further the development, implementation, and use of the new Naomi modelling tool (https://naomi.unaids.org), used by countries for granular HIV estimates at the district level by age and sex.
Duties and responsibilities
You will be responsible for leading development and publication of new epidemiological and statistical modelling methods, working with model users to improve data processing, workflow, and model use, coordinating with the research software engineering team on implementation of new methods, and guiding UNAIDS and partners to support model usage.
Research will support and contribute to the objectives of the UNAIDS Reference Group on Estimates, Modelling, and Projections (www.epidem.org) , an international collaboration of researchers providing expert guidance to UNAIDS, national governments, and partner organizations such as PEPFAR and Global Fund on the methods and data for quantifying and responding to the global HIV epidemic.
You will collaborate closely with epidemiologists, mathematical modellers, and research software engineers in the MRC Centre for Global Infectious Disease Analysis at Imperial College London, as well as international collaborators engaged in supporting district-level estimates including UNAIDS, the US Centers for Disease Control, surveillance and strategic information experts in several sub-Saharan African countries, and other technical partners
You should have a PhD or equivalent in one of the following areas: statistics, mathematics, infectious disease epidemiology, population biology, theoretical physics, computer science or a similarly quantitative discipline. Working knowledge of mathematical modelling and infectious disease transmission dynamics, Bayesian statistical modelling methods and R programming language, is essential.
This post is full time and fixed term until 31 December 21 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.
Should you have any queries please contact Dr Jeff Eaton (email@example.com).
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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.
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- Champion a positive approach to change and opportunity
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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.
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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