Bioinformatician
Applications for this vacancy closed on 14 March 2025 at 12:00PM
**About the role**
We have an exciting opportunity to join the Oxford Vaccine Group in the
Department of Paediatrics as our senior bioinformatician.
You will play an important role in contributing to our efforts to understand
the human microbiome and how this is impacted by antibiotic treatment. A side
effect of antimicrobial treatment targeted at harmful bacteria, is the
disruption of the “healthy” bacteria — leading to a rise in antimicrobial-
resistant genes and providing a niche for harmful bacteria. The goal of this
research is to optimise the appropriate use of antibiotic treatment strategies
to effectively treat infections while avoiding the emergence of antimicrobial
resistance (AMR).
Join our talented team of researchers dedicated to advancing global health
through innovative quantitative methods. We work at the forefront of clinical
trials and observational studies, collaborating with leading national and
international organisations to shape vaccine strategies and public health
policies. Our team played a pivotal role in the design and analysis of the
landmark ChAdOx1 nCoV-19 (AZD1222) trial, contributing to its World Health
Organization Emergency Use Listing (EUL) and emergency authorisations
worldwide. If you are passionate about conducting high-impact research that
drives meaningful change, we encourage you to apply. We have multiple
vacancies available and invite you to apply for the position that best aligns
with your skills and interests.
You will exploit a ground-breaking long-read sequencing metagenomic approaches
to link the genes underlying AMR to their bacteria reservoir; consequently,
revealing targets for future therapeutic inventions such as vaccines. Your
work will contribute to the broader objectives of the quantitative research
team, as well as to the mission of the Oxford Vaccine Group—advancing health
and wellbeing through immunisation.
You will be working in a growing department within the Medical Sciences
Division. The Department of Paediatrics is a world leader in child health
research and hosts internationally renowned research programmes in drug
development, gastroenterology, haematology, HIV, immunology, neuroimaging,
neuromuscular diseases and vaccinology.
This position is offered full-time on a fixed-term contract for two years for
until 31/07/2027 (whichever is earliest) , with the possibility to extend
provided further external funding is available.
**_We have multiple vacancies available and invite you to apply for the
position that best matches your skills and interests. Should the hiring panel
believe that your skills and experience better align with an alternative
vacancy, your application may be considered for an alternative role._**
**About the department**
The Department of Paediatrics holds the Athena Swan Gold award (a national
gender equality charter) acknowledging the innovative policies and practices
developed across the department. We encourage staff to develop their skills by
offering all staff ten paid days of professional development each year and
have a policy where staff can apply to receive funding for further training
courses to support their professional development. For staff on work visas, we
also offer financial assistance towards visa renewal fees.
Please visit our website to find out more about the Department.
**About you**
You will hold (or close to completion) a PhD/DPhil in Bioinformatics,
Statistics, Mathematics, or microbiology with proven and demonstrable
analytical skills, including in the analysis of metagenomic data. You will
have highly effective verbal and written communication skills with all levels
of staff and an ability to operate effectively in a demanding and
collaborative research environment.
**Application Process**
You will be required to upload a CV and Supporting Statement as part of your
online application. The Supporting Statement should include a cover letter and
should also clearly describe how you meet each of the selection criteria
listed in the job description. Click here for information and advice on
writing an effective Supporting Statement.
To discuss the post in more detail, please contact Prof Daniel O’Connor, using
the contact details below.
Only online applications received before 12.00 midday on 14th March 2025 will
be considered. Interviews will be held as soon as possible thereafter.
We have an exciting opportunity to join the Oxford Vaccine Group in the
Department of Paediatrics as our senior bioinformatician.
You will play an important role in contributing to our efforts to understand
the human microbiome and how this is impacted by antibiotic treatment. A side
effect of antimicrobial treatment targeted at harmful bacteria, is the
disruption of the “healthy” bacteria — leading to a rise in antimicrobial-
resistant genes and providing a niche for harmful bacteria. The goal of this
research is to optimise the appropriate use of antibiotic treatment strategies
to effectively treat infections while avoiding the emergence of antimicrobial
resistance (AMR).
Join our talented team of researchers dedicated to advancing global health
through innovative quantitative methods. We work at the forefront of clinical
trials and observational studies, collaborating with leading national and
international organisations to shape vaccine strategies and public health
policies. Our team played a pivotal role in the design and analysis of the
landmark ChAdOx1 nCoV-19 (AZD1222) trial, contributing to its World Health
Organization Emergency Use Listing (EUL) and emergency authorisations
worldwide. If you are passionate about conducting high-impact research that
drives meaningful change, we encourage you to apply. We have multiple
vacancies available and invite you to apply for the position that best aligns
with your skills and interests.
You will exploit a ground-breaking long-read sequencing metagenomic approaches
to link the genes underlying AMR to their bacteria reservoir; consequently,
revealing targets for future therapeutic inventions such as vaccines. Your
work will contribute to the broader objectives of the quantitative research
team, as well as to the mission of the Oxford Vaccine Group—advancing health
and wellbeing through immunisation.
You will be working in a growing department within the Medical Sciences
Division. The Department of Paediatrics is a world leader in child health
research and hosts internationally renowned research programmes in drug
development, gastroenterology, haematology, HIV, immunology, neuroimaging,
neuromuscular diseases and vaccinology.
This position is offered full-time on a fixed-term contract for two years for
until 31/07/2027 (whichever is earliest) , with the possibility to extend
provided further external funding is available.
**_We have multiple vacancies available and invite you to apply for the
position that best matches your skills and interests. Should the hiring panel
believe that your skills and experience better align with an alternative
vacancy, your application may be considered for an alternative role._**
**About the department**
The Department of Paediatrics holds the Athena Swan Gold award (a national
gender equality charter) acknowledging the innovative policies and practices
developed across the department. We encourage staff to develop their skills by
offering all staff ten paid days of professional development each year and
have a policy where staff can apply to receive funding for further training
courses to support their professional development. For staff on work visas, we
also offer financial assistance towards visa renewal fees.
Please visit our website to find out more about the Department.
**About you**
You will hold (or close to completion) a PhD/DPhil in Bioinformatics,
Statistics, Mathematics, or microbiology with proven and demonstrable
analytical skills, including in the analysis of metagenomic data. You will
have highly effective verbal and written communication skills with all levels
of staff and an ability to operate effectively in a demanding and
collaborative research environment.
**Application Process**
You will be required to upload a CV and Supporting Statement as part of your
online application. The Supporting Statement should include a cover letter and
should also clearly describe how you meet each of the selection criteria
listed in the job description. Click here for information and advice on
writing an effective Supporting Statement.
To discuss the post in more detail, please contact Prof Daniel O’Connor, using
the contact details below.
Only online applications received before 12.00 midday on 14th March 2025 will
be considered. Interviews will be held as soon as possible thereafter.
dc:spatial |
Department of Paediatrics, Oxford Vaccine Group, Churchill Hospital, Oxford
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oo:organizationPart | |
vacancy:applicationClosingDate |
2025-03-14 12:00:00+00:00
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vacancy:applicationOpeningDate |
2025-02-14 09:00:00+00:00
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vacancy:furtherParticulars | |
vacancy:internalApplicationsOnly |
False
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vacancy:salary | |
type | |
comment |
About the role We have an exciting opportunity to join the Oxford Vaccine Group in the Department of Paediatrics as our senior bioinformatician. You will play an important role in contributing to our efforts to understand the human microbiome and how this is impacted by antibiotic treatment. A side effect of antimicrobial treatment targeted at harmful bacteria, is the disruption of the “healthy” bacteria — leading to a rise in antimicrobial-resistant genes and providing a niche for harmful bacteria. The goal of this research is to optimise the appropriate use of antibiotic treatment strategies to effectively treat infections while ... **About the role**
We have an exciting opportunity to join the Oxford Vaccine Group in the Department of Paediatrics as our senior bioinformatician. You will play an important role in contributing to our efforts to understand the human microbiome and how this is impacted by antibiotic treatment. A side effect of antimicrobial treatment targeted at harmful bacteria, is the disruption of the “healthy” bacteria — leading to a rise in antimicrobial- resistant genes and providing a niche for harmful bacteria. The goal of this research is to optimise the appropriate use of antibiotic treatment strategies to effectively treat infections while ... |
label |
Bioinformatician
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notation |
176549
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based near | |
page |