Exciting opportunity to join us as Technical Analyst to support a new initiative at the interface between academia and policy.
Applications are invited to join the Department of Infectious Disease Epidemiology located at the St Mary’s campus, Paddington.
We are seeking a Technical Analyst to support a new initiative focused on the provision of academic modelling outputs for a range of clients including global health agencies, NGOs and foreign governments.
This new post will sit within the MRC Centre for Global Infectious Disease Analysis at Imperial College London (https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis). A key part of the Centre’s mission is to undertake applied collaborative work with national and international agencies in support of policy planning for emerging and endemic infectious diseases. We host a WHO Collaborating Centre for Mathematical Modelling and have strong partnerships with other international organizations - including The Global Fund and Gavi - through which modelling outputs generated by Centre staff are used to inform policy.
This position will focus on COVID-19 vaccine impact, leading the generation of outputs for global stakeholders to inform their policy development on vaccine introduction using existing models. The postholder will be based within the COVID-19 Response Team (approximately 30 staff including academic leads, researchers and software engineers). The postholder will use existing models (primarily in R packages) to generate outputs that address client’s questions. Initial clients for this work include WHO, PATH and the Asian Development Bank.
Duties and responsibilities
You will be required to:
• Lead the analysis of epidemiological data and generate modelling outputs to directly address questions posed by clients
• Manage the client relationship, including the development of questions, work plan and timelines for the provision of results
• Provide interim and final reports to the clients, including presentations at international meetings as appropriate.
Essential requirements
You will need an MSc or higher degree in Epidemiology, Public Health, Biology, Statistics or related quantitative discipline or relevant industry experience. Essential skills / experience in presenting complex data to a diverse audience and R programming language for performing model simulations and data analysis.
Further information
This is a full time, fixed term post available for 1 year in the first instance 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: Azra Ghani (a.ghani@imperial.ac.uk)
Job listing information
• Reference MED02589
• Date posted 13 July 2021
• Closing date 11 August 2021
- Type
- Other
- Institution
- Imperial College London
- City
- London
- Country
- UK
- Closing date
- August 11th, 2021
- Posted on
- July 21st, 2021 15:55
- Last updated
- July 21st, 2021 15:56
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