Genomic epidemiologist
Applications for this vacancy closed on 12 October 2023 at 12:00PM
An exciting opportunity has arisen for a Senior Postdoctoral Research
Assistant position at the University of Oxford, working on a highly
prestigious NIHR Biomedical Research Centre award. The research theme is
“Better Sleep”. The post holder will be supported by David Ray, lead principal
Investigator, based in the Radcliffe Department of Medicine, The Kavli
Institute for Nanoscience Discovery, and the Sir Jules Thorn Sleep and
Circadian Neuroscience Institute, Ruth Travis, Professor of Epidemiology at
the Nuffield Department of Public Health, and Professor Aiden Doherty, also at
the Nuffield Department of Public Health, and the Big Data Institute.
This programme builds on recent discoveries from our group relating to
analysis, and intervention to promote optimal human sleep and circadian
function. We are targeting a neglected area, with massive unmet medical need.
The Biomedical Research Centre is focussed on fundamental research relating to
human health and disease, with goals to get interventions in to the clinic in
less than 10 years.
Our programme uses existing and new human cohorts, seeks to identify human
rhythmic phenotypes, and sleep phenotypes using self-reports, and objective
measures, and applying population genetics methodologies, including Mendelian
randomisation to understand causal effects, and to provide evidence for
intervention targets to be prioritised for clinical trials.
The postholder will have responsibility for developing new streams of
discovery science, and will also work across the Better Sleep theme
identifying opportunities to apply data science approaches to accelerate
discovery, and progression of interventions to the clinic. The candidate will
work with an outstanding team of researchers, in a supportive, and innovative
environment.
Outputs: There is an expectation that the candidate will publish in high-
impact journals, present at international meetings, drive project progression,
and capitalise on the joint academic stakeholders at the Universities of
Oxford, and the sleep centre at University of Surrey. There is considerable
scope to pursue exciting new research opportunities emerging from the main
programme.
You will have an interest in or experience of sleep, or circadian research
involving human participants, or population health. Experience of genetic
epidemiology, epidemiology, public health is desirable. Some experience of
sleep or circadian research is also desirable.
A relevant PHD/DPHIL is essential, the postholder will also be expected to
have familiarity with statistical methods, computational biology, population
genetic analysis, previous publications and experience of presentations. The
postholder will work on a new, large interdisciplinary research programme.
The position is full-time and fixed-term until 31 March 2025, funded by the
Oxford Health BRC https://oxfordhealthbrc.nihr.ac.uk.
The position will be based at the Big Data Institute, at the University of
Oxford, Oxford, UK.
Please quote reference 166851 on all correspondence. You will be required to
upload a CV and supporting statement as part of your online application.
Only applications received before 12.00 midday on 12 October 2023 can be
considered.
Assistant position at the University of Oxford, working on a highly
prestigious NIHR Biomedical Research Centre award. The research theme is
“Better Sleep”. The post holder will be supported by David Ray, lead principal
Investigator, based in the Radcliffe Department of Medicine, The Kavli
Institute for Nanoscience Discovery, and the Sir Jules Thorn Sleep and
Circadian Neuroscience Institute, Ruth Travis, Professor of Epidemiology at
the Nuffield Department of Public Health, and Professor Aiden Doherty, also at
the Nuffield Department of Public Health, and the Big Data Institute.
This programme builds on recent discoveries from our group relating to
analysis, and intervention to promote optimal human sleep and circadian
function. We are targeting a neglected area, with massive unmet medical need.
The Biomedical Research Centre is focussed on fundamental research relating to
human health and disease, with goals to get interventions in to the clinic in
less than 10 years.
Our programme uses existing and new human cohorts, seeks to identify human
rhythmic phenotypes, and sleep phenotypes using self-reports, and objective
measures, and applying population genetics methodologies, including Mendelian
randomisation to understand causal effects, and to provide evidence for
intervention targets to be prioritised for clinical trials.
The postholder will have responsibility for developing new streams of
discovery science, and will also work across the Better Sleep theme
identifying opportunities to apply data science approaches to accelerate
discovery, and progression of interventions to the clinic. The candidate will
work with an outstanding team of researchers, in a supportive, and innovative
environment.
Outputs: There is an expectation that the candidate will publish in high-
impact journals, present at international meetings, drive project progression,
and capitalise on the joint academic stakeholders at the Universities of
Oxford, and the sleep centre at University of Surrey. There is considerable
scope to pursue exciting new research opportunities emerging from the main
programme.
You will have an interest in or experience of sleep, or circadian research
involving human participants, or population health. Experience of genetic
epidemiology, epidemiology, public health is desirable. Some experience of
sleep or circadian research is also desirable.
A relevant PHD/DPHIL is essential, the postholder will also be expected to
have familiarity with statistical methods, computational biology, population
genetic analysis, previous publications and experience of presentations. The
postholder will work on a new, large interdisciplinary research programme.
The position is full-time and fixed-term until 31 March 2025, funded by the
Oxford Health BRC https://oxfordhealthbrc.nihr.ac.uk.
The position will be based at the Big Data Institute, at the University of
Oxford, Oxford, UK.
Please quote reference 166851 on all correspondence. You will be required to
upload a CV and supporting statement as part of your online application.
Only applications received before 12.00 midday on 12 October 2023 can be
considered.
dc:spatial |
Big Data Institute, Old Road Campus, University of Oxford
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Subject | |
oo:contact | |
oo:formalOrganization | |
oo:organizationPart | |
vacancy:applicationClosingDate |
2023-10-12 12:00:00+01:00
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vacancy:applicationOpeningDate |
2023-09-04 09:00:00+01:00
|
vacancy:furtherParticulars | |
vacancy:internalApplicationsOnly |
False
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vacancy:salary | |
type | |
comment |
An exciting opportunity has arisen for a Senior Postdoctoral Research Assistant position at the University of Oxford, working on a highly prestigious NIHR Biomedical Research Centre award. The research theme is “Better Sleep”. The post holder will be supported by David Ray, lead principal Investigator, based in the Radcliffe Department of Medicine, The Kavli Institute for Nanoscience Discovery, and the Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Ruth Travis, Professor of Epidemiology at the Nuffield Department of Public Health, and Professor Aiden Doherty, also at the Nuffield Department of Public Health, and the Big Data Institute. This programme ... An exciting opportunity has arisen for a Senior Postdoctoral Research
Assistant position at the University of Oxford, working on a highly prestigious NIHR Biomedical Research Centre award. The research theme is “Better Sleep”. The post holder will be supported by David Ray, lead principal Investigator, based in the Radcliffe Department of Medicine, The Kavli Institute for Nanoscience Discovery, and the Sir Jules Thorn Sleep and Circadian Neuroscience Institute, Ruth Travis, Professor of Epidemiology at the Nuffield Department of Public Health, and Professor Aiden Doherty, also at the Nuffield Department of Public Health, and the Big Data Institute. This programme builds ... |
label |
Genomic epidemiologist
|
notation |
166851
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based near | |
page |