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Research fellow in modelling vaccine impacts
application opening date: 2023-10-10T09:00:00+01:00
further particulars: 167051 - Research fellow in modelling vaccine impacts - JD
formal organization: University of Oxford
type: Vacancy
comment: We are seeking to appoint a Research Fellow in Modelling Vaccine Impacts to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research Fellow, you will be leading research in optimising the use of vaccines for Lassa fever and Chikungunya in low-income populations. You will be primarily responsible for considering the dynamics of Chikungunya transmission, and will also be involved in optimising vaccine allocation for multiple diseases. This post would be suitable for someone entering infectious disease modelling from mathematics, computing, or statistics, as well as for an experienced infectious disease modeller who wants to broaden their expertise and do policy-facing work. It is essential that you hold a PhD/Dphil (or close to completion) in a quantitative research area such as mathematical modelling, computing or statistics, together with relevant experience. Sufficient specialist knowledge in the discipline to work within established research programmes in infectious disease modelling or optimisation is required, alongside strong analytical and quantitative skills and excellent problem-solving abilities. The ability to manage own academic research and associated activities and independently lead research, to work collaboratively with others and to work to deadlines is also required. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time (part-time may be considered at a minimum of 22.5h / 0.60FTE) on a fixed term contract until 30 June 2024 and is funded by the Li Ka Shing Foundation. Only applications received before 12 midday on Tuesday 7 November 2023 will be considered. Please quote **167051** on all correspondence.
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contact: Margarita Monroy
comment: We are seeking to appoint a Research Fellow in Modelling Vaccine Impacts to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research Fellow, you will be leading research in optimising the use of vaccines for Lassa fever and Chikungunya in low-income populations. You will be primarily responsible for considering the dynamics of Chikungunya transmission, and will also be involved in optimising vaccine allocation for multiple diseases. This post would be suitable for someone entering infectious disease modelling from mathematics, computing, or statistics, as well as for an experienced infectious disease modeller who wants to broaden their expertise and do policy-facing work. It is essential that you hold a PhD/Dphil (or close to completion) in a quantitative research area such as mathematical modelling, computing or statistics, together with relevant experience. Sufficient specialist knowledge in the discipline to work within established research programmes in infectious disease modelling or optimisation is required, alongside strong analytical and quantitative skills and excellent problem-solving abilities. The ability to manage own academic research and associated activities and independently lead research, to work collaboratively with others and to work to deadlines is also required. Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your online application. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. This position is offered full time (part-time may be considered at a minimum of 22.5h / 0.60FTE) on a fixed term contract until 30 June 2024 and is funded by the Li Ka Shing Foundation. Only applications received before 12 midday on Tuesday 7 November 2023 will be considered. Please quote 167051 on all correspondence.
application closing date: 2023-11-07T12:00:00+00:00
based near: Big Data Institute
subject: research
salary: Standard Grade 7: £36,024 - £44,263 with a discretionary range to £48,350 p.a. (pro rata)
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value: Job title Research Fellow in Modelling Vaccine Impacts Division Medical Sciences Department Nuffield Department of Medicine Location Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF Grade and salary Grade 7: £36,024 - £44,263 with a discretionary range to £48,350 p.a. (pro rata) Hours Full time (part-time may be considered - a minimum of 22.5h / 0.60FTE) Contract type Fixed-term contract until 30 June 2024 Reporting to Professor Deirdre Epidemiology Vacancy reference 167051 Additional information Funding provided by the Li Ka Shing Foundation Research topic Vaccine impact modelling and optimisation Principal Investigator / supervisor Professor Deirdre Hollingsworth Project team Hollingworth Research Group Project web site https://www.bdi.ox.ac.uk/Team/deirdre-hollingsworth Funding partner The funds supporting this research project are provided by Li Ka Shing Foundation Hollingsworth, Professor of Infectious Disease The role This is an exciting opportunity to join the Centre for Tropical Medicine and Global Health, based at the University of Oxford, working with Professor Deirdre Hollingsworth and the newly formed OxLiv consortium for vaccine impact assessment modelling to directly inform global health investment. You will be leading research in optimising the use of vaccines for Lassa fever and Chikungunya in lowincome populations. Professor Hollingsworth’s group is a world leader in the development of statistical, mathematical, and computational models to understand infectious disease dynamics, and the translation of scientific outputs to inform national and global health policy. Professor Hollingsworth has made significant contributions to the study of neglected tropical diseases, COVID-19, HIV, and malaria. Research outputs range from analytical mathematical models through to large-scale individual-based simulation as well as statistics and Bayesian inference. Her highly motivated, collabora…
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