Postdoctoral Researcher
Applications for this vacancy closed on 4 December 2023 at 12:00PM
We are seeking to appoint a Postdoctoral Researcher to build new methods and
frameworks for understanding and predicting the spread of infectious disease
using serologic and virologic data.
Individual-level, quantitative biomarker data, such as antibody titers and
viral loads, are now routinely collected at scale. Our work has shown that
these data can be analysed at a population level to estimate epidemic trends,
inform testing strategies for outbreak management, and reconstruct individual-
level immune profiles. In this project, you will conduct research to better
understand how within-host and epidemiological factors, choice of diagnostic
test and sampling strategy affect the interpretation of biomarker data
collected through routine testing.
You will be responsible for contributing to research projects in the field of
infectious disease epidemiology and mathematical modelling. You will design,
adapt and implement models, statistical methods, and simulations for analysing
serologic and virologic data, as well as stay up to date with the latest
advancements and publications in the field and engage in regular scientific
discussions with the team. You will manage and curate sensitive datasets of
individual-level biomarker data, as well as lead and contribute to the
production of scientific publications and submit presentations to
international conferences.
It is essential that you hold a PhD/DPhil (or close to completion) in a
relevant quantitative field (e.g. infectious disease epidemiology,
biostatistics, mathematical biology etc). You will be proficient with the
statistical programming language R (or a related programming language such as
Python or Julia), and you will have a track record of developing and sharing
analytical methods for general use. You will have excellent organizational
skills for time management, progress reports and completing tasks to agreed
deadlines, and you will have demonstrable independence, initiative, and
willingness to work towards a common goal.
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 on a fixed term contract for 30 months and
is funded by the Wellcome Trust.
Interviews are to be held on 15 December 2023.
Only applications received before 12 midday on 4 December 2023 will be
considered. Please quote **169094** on all correspondence.
frameworks for understanding and predicting the spread of infectious disease
using serologic and virologic data.
Individual-level, quantitative biomarker data, such as antibody titers and
viral loads, are now routinely collected at scale. Our work has shown that
these data can be analysed at a population level to estimate epidemic trends,
inform testing strategies for outbreak management, and reconstruct individual-
level immune profiles. In this project, you will conduct research to better
understand how within-host and epidemiological factors, choice of diagnostic
test and sampling strategy affect the interpretation of biomarker data
collected through routine testing.
You will be responsible for contributing to research projects in the field of
infectious disease epidemiology and mathematical modelling. You will design,
adapt and implement models, statistical methods, and simulations for analysing
serologic and virologic data, as well as stay up to date with the latest
advancements and publications in the field and engage in regular scientific
discussions with the team. You will manage and curate sensitive datasets of
individual-level biomarker data, as well as lead and contribute to the
production of scientific publications and submit presentations to
international conferences.
It is essential that you hold a PhD/DPhil (or close to completion) in a
relevant quantitative field (e.g. infectious disease epidemiology,
biostatistics, mathematical biology etc). You will be proficient with the
statistical programming language R (or a related programming language such as
Python or Julia), and you will have a track record of developing and sharing
analytical methods for general use. You will have excellent organizational
skills for time management, progress reports and completing tasks to agreed
deadlines, and you will have demonstrable independence, initiative, and
willingness to work towards a common goal.
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 on a fixed term contract for 30 months and
is funded by the Wellcome Trust.
Interviews are to be held on 15 December 2023.
Only applications received before 12 midday on 4 December 2023 will be
considered. Please quote **169094** on all correspondence.
dc:spatial |
Pandemic Sciences Institute, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF
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oo:organizationPart | |
vacancy:applicationClosingDate |
2023-12-04 12:00:00+00:00
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vacancy:applicationOpeningDate |
2023-11-01 09:00:00+00:00
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vacancy:furtherParticulars | |
vacancy:internalApplicationsOnly |
False
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vacancy:salary | |
type | |
comment |
We are seeking to appoint a Postdoctoral Researcher to build new methods and frameworks for understanding and predicting the spread of infectious disease using serologic and virologic data. Individual-level, quantitative biomarker data, such as antibody titers and viral loads, are now routinely collected at scale. Our work has shown that these data can be analysed at a population level to estimate epidemic trends, inform testing strategies for outbreak management, and reconstruct individual-level immune profiles. In this project, you will conduct research to better understand how within-host and epidemiological factors, choice of diagnostic test and sampling strategy affect the interpretation ... We are seeking to appoint a Postdoctoral Researcher to build new methods and
frameworks for understanding and predicting the spread of infectious disease using serologic and virologic data. Individual-level, quantitative biomarker data, such as antibody titers and viral loads, are now routinely collected at scale. Our work has shown that these data can be analysed at a population level to estimate epidemic trends, inform testing strategies for outbreak management, and reconstruct individual- level immune profiles. In this project, you will conduct research to better understand how within-host and epidemiological factors, choice of diagnostic test and sampling strategy affect the interpretation ... |
label |
Postdoctoral Researcher
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notation |
169094
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based near | |
page |