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<vacancy>
<recruitmentId>
187018
</recruitmentId>
<shortDescription>
<![CDATA[Postdoctoral Research Scientist in Computational Vaccinology ]]>
</shortDescription>
<shortDescriptionIrish>
<![CDATA[]]>
</shortDescriptionIrish>
<jobDescription>
<![CDATA[<div>We are seeking a Postdoctoral Research Scientist in Computational Vaccinology to join the Pandemic Science Institute’s (PSI) growing efforts in computational vaccinology and vaccine trial design. You will analyse immunological data from the ChAdOx1 NipahB vaccine trial, aiming to help identify a set of immune markers which might serve as early correlates of protection (CoP) against Nipah virus disease. You will work with immunologists, mathematical modellers and statisticians to develop new frameworks to interpret and evaluate state-of-the-art immune markers as CoPs in vaccine trials and real-world effectiveness studies. There will be the opportunity to collaborate in other immunological modelling and bioinformatics projects in the PSI.</div>
<div>&nbsp;</div>
<div>This is a highly multidisciplinary, fixed-term position based at the University of Oxford’s PSI, funded by CEPI and the Wellcome Trust. The role will require close collaboration between data analysts, modellers, immunologists, and trial specialists at the PSI, the International Centre for Diarrheal Disease Research Bangladesh (icddr,b) and the Bangladesh Institute of Epidemiology, Disease Control and Research (IECDR). In addition to carrying out research to inform ongoing vaccine trial efforts, you will have the opportunity to undertake funded training in machine learning and vaccinology. You will be part of the wider Pathogen Dynamics group with substantial opportunity for collaboration and career development.</div>
<div>&nbsp;</div>
<div>The position is suitable for a highly motivated bioinformatician, statistician, or computational biologist with expertise in machine learning and an interest in immunology, epidemiology and vaccinology. You will hold, or be near completion of, a PhD/DPhil in a relevant quantitative field and have expertise in analysing complex datasets using machine learning methods and/or statistics. Proficiency in R, Python, Julia, or other relevant programming languages is essential. Experience working with systems immunology data will be an advantage, as will evidence of successful collaboration with lab-based researchers.</div>
<div>&nbsp;</div>
<div>Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.  </div>
<div>This position is offered full time on a fixed term contract until 31 March 2028 and is funded by Wellcome and CEPI.</div>
<div>&nbsp;</div>
<div>Only applications received before 12 midday on Thursday, 16 July 2026 will be considered. Please quote <strong>187018</strong> on all correspondence. </div>
<div>&nbsp;</div>
<div>We welcome informal enquiries, which can be redirected to James Hay at James.hay@ndm.ox.ac.uk.</div>
]]>
</jobDescription>
<jobDescriptionIrish>
<![CDATA[]]>
</jobDescriptionIrish>
<startDate>
19-JUN-2026
</startDate>
<endDate>

</endDate>
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<code>
O
</code>
<description>
Open
</description>
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<code>
ADVERT
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<description>
<![CDATA[ADVERTISED]]>
</description>
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<company>
<code>
10
</code>
<description>
<![CDATA[UNIVERSITY OF OXFORD]]>
</description>
</company>
<position>
<code>
PRA
</code>
<description>
<![CDATA[POSTDOCTORAL RESEARCH ASSISTANT]]>
</description>
</position>
<positionType>
<code>
R
</code>
<description>
<![CDATA[REPLACEMENT / REFILL]]>
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<department>
<code>
PS
</code>
<description>
<![CDATA[PANDEMIC SCIENCES INSTITUTE]]>
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<code>
2B02
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<description>
<![CDATA[NDM]]>
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<code>
RE
</code>
<description>
<![CDATA[Research]]>
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<payScale>
<code>
07RS
</code>
<description>
<![CDATA[RESEARCH GRADE 7]]>
</description>
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<location>
<code>
457
</code>
<description>
<![CDATA[CR - BIG DATA INST BLDG]]>
</description>
</location>
<division>
<code>
2
</code>
<description>
<![CDATA[MEDICAL SCIENCES]]>
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<recruitmentOpensDate>
19-JUN-2026
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<recruitmentOpensTime>
09:00
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<recruitmentClosesDate>
16-JUL-2026
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<recruitmentClosesTime>
12:00
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<internalOpenDate>

</internalOpenDate>
<internalOpenTime>

</internalOpenTime>
<externalOpenDate>
19-JUN-2026
</externalOpenDate>
<externalOpenTime>
09:00
</externalOpenTime>
<internalCloseDate>

</internalCloseDate>
<internalCloseTime>

</internalCloseTime>
<externalCloseDate>
16-JUL-2026
</externalCloseDate>
<externalCloseTime>
12:00
</externalCloseTime>
<internalOpenDateTime>

</internalOpenDateTime>
<internalCloseDateTime>

</internalCloseDateTime>
<externalOpenDateTime>
19-JUN-2026 09:00
</externalOpenDateTime>
<externalCloseDateTime>
16-JUL-2026 12:00
</externalCloseDateTime>
<orgGroupLocationText>
<![CDATA[Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF]]>
</orgGroupLocationText>
<gradeAndSalaryText>
<![CDATA[Research Grade 7: £39,424 - £47,779 with a discretionary range to £53,483 p.a. This is inclusive of a pensionable Oxford University Weighting of £1,730 per year.]]>
</gradeAndSalaryText>
<tagsText>
<![CDATA[]]>
</tagsText>
<contactPersonText>
<![CDATA[Bogdan Tiritelnicu]]>
</contactPersonText>
<contactEmailText>
<![CDATA[recruitment@ndm.ox.ac.uk]]>
</contactEmailText>
<contactPhoneText>
<![CDATA[]]>
</contactPhoneText>
<documentLink>
<documentURL>
<![CDATA[https://my.corehr.com/pls/uoxrecruit/docs/0022483425.pdf]]>
</documentURL>
<documentName>
<![CDATA[187018 -  Postdoctoral Research Scientist - JD]]>
</documentName>
</documentLink>
</vacancy>
<vacancy>
<recruitmentId>
186147
</recruitmentId>
<shortDescription>
<![CDATA[Research Assistant]]>
</shortDescription>
<shortDescriptionIrish>
<![CDATA[]]>
</shortDescriptionIrish>
<jobDescription>
<![CDATA[<div>We are seeking to appoint a Research Assistant to support the on-going programme of vaccine development against priority pathogens within Professor Dame Sarah Gilbert’s group at the Pandemic Sciences Institute. Our research mainly focuses on optimizing viral-vectored vaccine platforms and developing candidate vaccines against priority pathogens such as MERS-CoV, Nipah, Lassa, and influenza.</div>
<div>&nbsp;</div>
<div>This position offers an opportunity to evaluate the immune response induced by candidate vaccines in pre-clinical studies and clinical trials, and to support the optimization, qualification, and validation of immunoassays, technical transfer of assays to collaborators, and troubleshooting post-transfer.The role involves handling samples from humans and model species, but will not involve vaccination or sample collection activities. Activities must be performed in compliance with standards expected from good laboratory practice, good clinical practice, and group/trial guidance and trial protocols.</div>
<div>&nbsp;</div>
<div>It is essential that you hold a BSc or equivalent in a relevant subject such as Microbiology, Immunology, Biomedical sciences, Biology, Biochemistry or will achieve this before start date of post together with previous relevant laboratory experience in an academic research lab, or industry or public health research environment. You also must have practical experience with mammalian cell culture and immunological assays such as ELISA and virus or pseudovirus neutralisation assays. It is essential that you can manage your own research and administrative activities, within guidelines provided by senior colleagues.</div>
<div>&nbsp;</div>
<div>Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.</div>
<div>&nbsp;</div>
<div>This position is offered full time on a fixed term contract until 31 August 2028 and is funded by CEPI.</div>
<div>&nbsp;</div>
<div>Only applications received before 12 midday on Tuesday 30 June 2026 will be considered. Please quote <strong>186147</strong> on all correspondence.</div>
]]>
</jobDescription>
<jobDescriptionIrish>
<![CDATA[]]>
</jobDescriptionIrish>
<startDate>
16-JUN-2026
</startDate>
<endDate>

</endDate>
<status>
<code>
O
</code>
<description>
Open
</description>
</status>
<recruitmentStatus>
<code>
ADVERT
</code>
<description>
<![CDATA[ADVERTISED]]>
</description>
</recruitmentStatus>
<company>
<code>
10
</code>
<description>
<![CDATA[UNIVERSITY OF OXFORD]]>
</description>
</company>
<position>
<code>
RA
</code>
<description>
<![CDATA[RESEARCH ASSISTANT]]>
</description>
</position>
<positionType>
<code>
F
</code>
<description>
<![CDATA[NEW POST - GENERIC JD]]>
</description>
</positionType>
<department>
<code>
PS
</code>
<description>
<![CDATA[PANDEMIC SCIENCES INSTITUTE]]>
</description>
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<managementUnit>
<code>
2B02
</code>
<description>
<![CDATA[NDM]]>
</description>
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<code>
RE
</code>
<description>
<![CDATA[Research]]>
</description>
</competitionType>
<payScale>
<code>
06RS
</code>
<description>
<![CDATA[RESEARCH GRADE 6]]>
</description>
</payScale>
<location>
<code>
193
</code>
<description>
<![CDATA[HC - JENNER INSTITUTE]]>
</description>
</location>
<division>
<code>
2
</code>
<description>
<![CDATA[MEDICAL SCIENCES]]>
</description>
</division>
<recruitmentOpensDate>
16-JUN-2026
</recruitmentOpensDate>
<recruitmentOpensTime>
09:00
</recruitmentOpensTime>
<recruitmentClosesDate>
30-JUN-2026
</recruitmentClosesDate>
<recruitmentClosesTime>
12:00
</recruitmentClosesTime>
<internalOpenDate>

</internalOpenDate>
<internalOpenTime>

</internalOpenTime>
<externalOpenDate>
16-JUN-2026
</externalOpenDate>
<externalOpenTime>
09:00
</externalOpenTime>
<internalCloseDate>

</internalCloseDate>
<internalCloseTime>

</internalCloseTime>
<externalCloseDate>
30-JUN-2026
</externalCloseDate>
<externalCloseTime>
12:00
</externalCloseTime>
<internalOpenDateTime>

</internalOpenDateTime>
<internalCloseDateTime>

</internalCloseDateTime>
<externalOpenDateTime>
16-JUN-2026 09:00
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<externalCloseDateTime>
30-JUN-2026 12:00
</externalCloseDateTime>
<orgGroupLocationText>
<![CDATA[Pandemic Science Institute, Institute of Developmental & Regenerative Medicine, Old Road Campus, Headington, Oxford OX3 7TY]]>
</orgGroupLocationText>
<gradeAndSalaryText>
<![CDATA[Research Grade 6: Salary in range £35,681 - £41,636 per annum (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).]]>
</gradeAndSalaryText>
<tagsText>
<![CDATA[]]>
</tagsText>
<contactPersonText>
<![CDATA[Kristina Limbu]]>
</contactPersonText>
<contactEmailText>
<![CDATA[recruitment@ndm.ox.ac.uk]]>
</contactEmailText>
<contactPhoneText>
<![CDATA[]]>
</contactPhoneText>
<documentLink>
<documentURL>
<![CDATA[https://my.corehr.com/pls/uoxrecruit/docs/0022470748.pdf]]>
</documentURL>
<documentName>
<![CDATA[186147 - Research Assistant - JD.pdf]]>
</documentName>
</documentLink>
</vacancy>
<vacancy>
<recruitmentId>
186516
</recruitmentId>
<shortDescription>
<![CDATA[Research Assistant - Vaccine Technology Development ]]>
</shortDescription>
<shortDescriptionIrish>
<![CDATA[]]>
</shortDescriptionIrish>
<jobDescription>
<![CDATA[<div>We are seeking to appoint a Research Assistant- Vaccine Technology Development Assistant to contribute to the development and optimisation of viral-vectored vaccine platforms within Professor Dame Sarah Gilbert’s research group at the Pandemic Sciences Institute. The team has led innovations in adenoviral vector design, and this role builds on that foundation with a focus on vaccine platform engineering. You will design, optimise and evaluate adenovirus-based vaccine platforms, with an emphasis on improving the overall antigenic potency of adenoviral vectored vaccines. This will involve routine work in molecular and cell biology, as well as supporting in vitro and in vivo studies to assess transgene expression, immunogenicity, and platform stability. You will report to and work alongside Dr Sophie Jégouic-Goodall and Dr Adam Gillman.</div>
<div>&nbsp;</div>
<div>You will be responsible for managing your own academic research and administrative activities and contribute to wider project planning, including ideas for new research projects. You will test hypotheses and analyse scientific data from a variety of sources, reviewing and refining working hypotheses as appropriate. You will also collaborate in the preparation of scientific reports and journal articles.</div>
<div>&nbsp;</div>
<div>It is essential that you hold a BSc degree in a relevant subject together with experience in molecular biology techniques, including plasmid design, cloning, DNA/RNA extraction, PCR and Western blotting, and immunological methods, such as ELISA, ELISpot, and flow cytometry. You will have a methodical and careful approach to working in the laboratory with exceptional data analysis/ recording skills. Having previous experience in writing SOPs and risk assessments are highly desirable.</div>
<div>&nbsp;</div>
<div>Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.</div>
<div>&nbsp;</div>
<div>This position is offered full time on a fixed term contract for 24 months and is funded by the Donation Funds.</div>
<div>&nbsp;</div>
<div>Only applications received before 12 midday on Thursday 2 July 2026 will be considered. Please quote <strong>186516</strong> on all correspondence.</div>
]]>
</jobDescription>
<jobDescriptionIrish>
<![CDATA[]]>
</jobDescriptionIrish>
<startDate>
18-JUN-2026
</startDate>
<endDate>

</endDate>
<status>
<code>
O
</code>
<description>
Open
</description>
</status>
<recruitmentStatus>
<code>
ADVERT
</code>
<description>
<![CDATA[ADVERTISED]]>
</description>
</recruitmentStatus>
<company>
<code>
10
</code>
<description>
<![CDATA[UNIVERSITY OF OXFORD]]>
</description>
</company>
<position>
<code>
RA
</code>
<description>
<![CDATA[RESEARCH ASSISTANT]]>
</description>
</position>
<positionType>
<code>
F
</code>
<description>
<![CDATA[NEW POST - GENERIC JD]]>
</description>
</positionType>
<department>
<code>
PS
</code>
<description>
<![CDATA[PANDEMIC SCIENCES INSTITUTE]]>
</description>
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<code>
2B02
</code>
<description>
<![CDATA[NDM]]>
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<code>
RE
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<description>
<![CDATA[Research]]>
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<code>
06RS
</code>
<description>
<![CDATA[RESEARCH GRADE 6]]>
</description>
</payScale>
<location>
<code>
193
</code>
<description>
<![CDATA[HC - JENNER INSTITUTE]]>
</description>
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<division>
<code>
2
</code>
<description>
<![CDATA[MEDICAL SCIENCES]]>
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18-JUN-2026
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<recruitmentOpensTime>
09:00
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02-JUL-2026
</recruitmentClosesDate>
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12:00
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<internalOpenDate>
18-JUN-2026
</internalOpenDate>
<internalOpenTime>
09:00
</internalOpenTime>
<externalOpenDate>

</externalOpenDate>
<externalOpenTime>

</externalOpenTime>
<internalCloseDate>
02-JUL-2026
</internalCloseDate>
<internalCloseTime>
12:00
</internalCloseTime>
<externalCloseDate>

</externalCloseDate>
<externalCloseTime>

</externalCloseTime>
<internalOpenDateTime>
18-JUN-2026 09:00
</internalOpenDateTime>
<internalCloseDateTime>
02-JUL-2026 12:00
</internalCloseDateTime>
<externalOpenDateTime>

</externalOpenDateTime>
<externalCloseDateTime>

</externalCloseDateTime>
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<![CDATA[Pandemic Science Institute, Old Road Campus Research Building, Roosevelt Drive, Headington, Oxford, OX3 7DQ]]>
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<gradeAndSalaryText>
<![CDATA[Research Grade 6: £35,681- £ 41,636 with a discretionary range to £46,476 p.a. (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata)]]>
</gradeAndSalaryText>
<tagsText>
<![CDATA[]]>
</tagsText>
<contactPersonText>
<![CDATA[Kristina Limbu]]>
</contactPersonText>
<contactEmailText>
<![CDATA[recruitment@ndm.ox.ac.uk]]>
</contactEmailText>
<contactPhoneText>
<![CDATA[]]>
</contactPhoneText>
<documentLink>
<documentURL>
<![CDATA[https://my.corehr.com/pls/uoxrecruit/docs/0022480073.pdf]]>
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<documentName>
<![CDATA[186516 - Research Assistant - JD.pdf]]>
</documentName>
</documentLink>
</vacancy>
<vacancy>
<recruitmentId>
186779
</recruitmentId>
<shortDescription>
<![CDATA[Senior Clinical Trial Manager - PARTNERS Trial]]>
</shortDescription>
<shortDescriptionIrish>
<![CDATA[]]>
</shortDescriptionIrish>
<jobDescription>
<![CDATA[<div>The Epidemic Diseases Clinical Research Group (ERGO), led by Professor Sir Peter Horby, Director of Oxford's Pandemic Sciences Institute, is seeking an experienced and highly motivated Senior Clinical Trial Manager to join its internationally recognised team.</div>
<div>&nbsp;</div>
<div>ERGO is a global leader in research on emerging infectious diseases, delivering clinical trials and other studies that help reduce the impact of epidemics and pandemics worldwide. This is an exciting opportunity to play a leading role in the PARTNERS trial, a major multi-country adaptive platform trial evaluating treatments for filovirus diseases across Africa.</div>
<div>&nbsp;</div>
<div>As Senior Clinical Trial Manager, you will lead the operational delivery of this complex international research programme, overseeing study start-up, regulatory approvals, site activation, governance, monitoring, and close-out activities. Working with investigators, sponsors, regulators, funders, and international partners, you will ensure that trial sites and systems remain ready for rapid activation during outbreaks while driving preparedness activities between outbreak periods.</div>
<div>&nbsp;</div>
<div>You will be an experienced clinical trials professional with strong leadership, organisational, and stakeholder management skills, and a proven ability to manage complex international studies in fast-paced environments.</div>
<div>&nbsp;</div>
<div>This role offers the chance to work at the forefront of global infectious disease research, collaborating with leading experts and international partners to generate evidence that can save lives during future outbreaks. You'll be part of a world-class team tackling some of the most pressing public health challenges of our time. Due to the exceptional nature of the Ebola epidemic response research, flexibility is essential. Occasional evening and weekend working may be required during periods of outbreak activity or urgent trial delivery.</div>
<div>&nbsp;</div>
<div>Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.</div>
<div>&nbsp;</div>
<div>This position is offered full time on a fixed term contract until 31 October 2027 and is funded by FCDO and UKRI.</div>
<div>&nbsp;</div>
<div>Only applications received before 12 midday on Monday 22 June 2026 will be considered. Please quote <strong>186779</strong> on all correspondence.</div>
<div>&nbsp;</div>
]]>
</jobDescription>
<jobDescriptionIrish>
<![CDATA[]]>
</jobDescriptionIrish>
<startDate>
05-JUN-2026
</startDate>
<endDate>

</endDate>
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<code>
O
</code>
<description>
Open
</description>
</status>
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<code>
ADVERT
</code>
<description>
<![CDATA[ADVERTISED]]>
</description>
</recruitmentStatus>
<company>
<code>
10
</code>
<description>
<![CDATA[UNIVERSITY OF OXFORD]]>
</description>
</company>
<position>
<code>
CTA
</code>
<description>
<![CDATA[CLINICAL TRIALS]]>
</description>
</position>
<positionType>
<code>
F
</code>
<description>
<![CDATA[NEW POST - GENERIC JD]]>
</description>
</positionType>
<department>
<code>
PS
</code>
<description>
<![CDATA[PANDEMIC SCIENCES INSTITUTE]]>
</description>
</department>
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<code>
2B02
</code>
<description>
<![CDATA[NDM]]>
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</managementUnit>
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<code>
RE
</code>
<description>
<![CDATA[Research]]>
</description>
</competitionType>
<payScale>
<code>
08S
</code>
<description>
<![CDATA[STANDARD GRADE 8]]>
</description>
</payScale>
<location>
<code>
193
</code>
<description>
<![CDATA[HC - JENNER INSTITUTE]]>
</description>
</location>
<division>
<code>
2
</code>
<description>
<![CDATA[MEDICAL SCIENCES]]>
</description>
</division>
<recruitmentOpensDate>
05-JUN-2026
</recruitmentOpensDate>
<recruitmentOpensTime>
09:00
</recruitmentOpensTime>
<recruitmentClosesDate>
22-JUN-2026
</recruitmentClosesDate>
<recruitmentClosesTime>
12:00
</recruitmentClosesTime>
<internalOpenDate>

</internalOpenDate>
<internalOpenTime>

</internalOpenTime>
<externalOpenDate>
05-JUN-2026
</externalOpenDate>
<externalOpenTime>
09:00
</externalOpenTime>
<internalCloseDate>

</internalCloseDate>
<internalCloseTime>

</internalCloseTime>
<externalCloseDate>
22-JUN-2026
</externalCloseDate>
<externalCloseTime>
12:00
</externalCloseTime>
<internalOpenDateTime>

</internalOpenDateTime>
<internalCloseDateTime>

</internalCloseDateTime>
<externalOpenDateTime>
05-JUN-2026 09:00
</externalOpenDateTime>
<externalCloseDateTime>
22-JUN-2026 12:00
</externalCloseDateTime>
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<![CDATA[Pandemic Sciences Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF]]>
</orgGroupLocationText>
<gradeAndSalaryText>
<![CDATA[Standard Grade 8: £49,119 - £58,265 with a discretionary range to £63,489 p.a. (pro rata). This is inclusive of a pensionable Oxford University Weighting of £1,730 per year (pro rata).]]>
</gradeAndSalaryText>
<tagsText>
<![CDATA[]]>
</tagsText>
<contactPersonText>
<![CDATA[Kaitlin Beazley]]>
</contactPersonText>
<contactEmailText>
<![CDATA[recruitment@ndm.ox.ac.uk]]>
</contactEmailText>
<contactPhoneText>
<![CDATA[]]>
</contactPhoneText>
<documentLink>
<documentURL>
<![CDATA[https://my.corehr.com/pls/uoxrecruit/docs/0022419420.pdf]]>
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<documentName>
<![CDATA[186779 - Senior Clinical Trial Manager - PARTNERS - JD]]>
</documentName>
</documentLink>
</vacancy>
</currentVacancies>
