| Location: | Bristol |
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| Salary: | £43,482 to £50,253 Grade J, per annum |
| Hours: | Full Time |
| Contract Type: | Permanent |
| Placed On: | 26th March 2026 |
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| Closes: | 23rd April 2026 |
| Job Ref: | ACAD108532 |
The role
We are seeking an exceptional computational researcher to work on open problems in plasmid evolution. The field of defence systems has rapidly become one of the most exciting areas of biology, but most work has focused on their effects against phage – plasmids have been neglected.
You’ll analyse plasmids & defence systems in combination to address key questions in bacterial evolution, including plasmid-host associations, how gene function relates to genomic location, and the rates at which plasmids diversify. This role is funded for at least 3.5 years by an ERC grant, meaning you’ll have time to take risks in your research and gain the skills you need to develop your own future career. You’ll join the newly-established research group of Dr. Liam Shaw at the University of Bristol (shawlab.uk) giving you the opportunity of close supervision and support. From day one you’ll receive mentoring and career development, such as drafting your own fellowship applications (or alternative support to suit your interests).
Additional document request when applying: In addition to the standard requested documents through our online application process (CV, cover letter), we would like you to also include the following:
What will you be doing?
There is a lot we don’t know about how defence systems and plasmids interact. You’ll apply existing computational tools to analyse their relationship across large datasets, including both reference genomes & the >2.4m genomes in AllTheBacteria. The role will also involve development of new computational tools to uncover novel biology, with the potential of future experimental collaborations to validate hypotheses.
Our initial aim is to build statistical models that relate defence systems and plasmids across bacterial diversity, using approaches from host-pathogen ecology to produce a broad-scale picture of their relationship that we can then build on. Another goal is to develop computational frameworks that quantify the evolution of plasmids undergoing genomic rearrangements. These will then be combined with tools to predict functions of plasmid proteins, the majority of which are currently unknown, and to explore the implications for the spread of antibiotic resistance. However, research can go in unexpected directions, and you’ll get the chance to shape these priorities as your work progresses. By leading on this work, you’ll be in an excellent place to build an independent academic career.
You should apply if
If you’re an exceptional candidate with expertise outside bacterial evolution looking to transition into the field, you are encouraged to apply if you can demonstrate your skills are a good fit.
Additional information
Interviews are likely to be held in week commencing Monday 11th May 2026.
For informal queries please contact: Dr Liam Shaw, Research Fellow via email: liam.shaw@bristol.ac.uk
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