Research fellow in infectious disease modelling
Applications for this vacancy closed on 13 October 2023 at 12:00PM
We are seeking to appoint a Research fellow in in infectious disease modelling
to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical
Medicine and Global Health.
As a Research fellow, you will be working in a multi-disciplinary, multi-
national team focussed across a number of NTDs, with primary responsibility
for data analysis and modelling of trachoma, a bacterial infection and leading
cause of blindness globally. You will primarily be working on evaluating the
impact of a trachoma control programme in close collaboration with
stakeholders. However, you will work also in multidisciplinary teams on a
range of epidemiological, surveillance and programmatic data and statistical
and mechanistic models across the NTDs for real-world impact.
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 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 31 March 2025 and is funded
by the Children’s Investment Fund Foundation, the Li Ka Shing and the Bill and
Melinda Gates Foundation.
Only applications received before 12 midday on Friday 13 October 2023 will be
considered. Please quote **167128** on all correspondence.
to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical
Medicine and Global Health.
As a Research fellow, you will be working in a multi-disciplinary, multi-
national team focussed across a number of NTDs, with primary responsibility
for data analysis and modelling of trachoma, a bacterial infection and leading
cause of blindness globally. You will primarily be working on evaluating the
impact of a trachoma control programme in close collaboration with
stakeholders. However, you will work also in multidisciplinary teams on a
range of epidemiological, surveillance and programmatic data and statistical
and mechanistic models across the NTDs for real-world impact.
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 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 31 March 2025 and is funded
by the Children’s Investment Fund Foundation, the Li Ka Shing and the Bill and
Melinda Gates Foundation.
Only applications received before 12 midday on Friday 13 October 2023 will be
considered. Please quote **167128** on all correspondence.
| dc:spatial |
Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF
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| Subject | |
| oo:contact | |
| oo:formalOrganization | |
| oo:organizationPart | |
| vacancy:applicationClosingDate |
2023-10-13 12:00:00+01:00
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| vacancy:applicationOpeningDate |
2023-09-15 09:00:00+01:00
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| vacancy:furtherParticulars | |
| vacancy:internalApplicationsOnly |
False
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| vacancy:salary | |
| type | |
| comment |
We are seeking to appoint a Research fellow in in infectious disease modelling to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research fellow, you will be working in a multi-disciplinary, multi-national team focussed across a number of NTDs, with primary responsibility for data analysis and modelling of trachoma, a bacterial infection and leading cause of blindness globally. You will primarily be working on evaluating the impact of a trachoma control programme in close collaboration with stakeholders. However, you will work also in multidisciplinary teams on a range of epidemiological, surveillance ... We are seeking to appoint a Research fellow in in infectious disease modelling
to join Professor Deirdre Hollingsworth’s team at the Centre for Tropical Medicine and Global Health. As a Research fellow, you will be working in a multi-disciplinary, multi- national team focussed across a number of NTDs, with primary responsibility for data analysis and modelling of trachoma, a bacterial infection and leading cause of blindness globally. You will primarily be working on evaluating the impact of a trachoma control programme in close collaboration with stakeholders. However, you will work also in multidisciplinary teams on a range of epidemiological, surveillance ... |
| label |
Research fellow in infectious disease modelling
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| notation |
167128
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| based near | |
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