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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

I’m hiring!

Philip Fowler, 26th June 20251st July 2025

Thanks to funding from the OxCoD4TB project, I am hiring a postdoctoral research associate. This consortium pulls together expertise from all over the University, including in diagnostics, data science, drug and vaccine design, preclinical testing and clinical testing and brings it to bear on tuberculosis (TB). The main aims of OxCoD4TB are to establish and validate a new TB therapeutics pipeline and discover and evaluate novel compounds and also drug and vaccine combinations.

Over the last ten years we have collated and curated the world’s largest publicly available dataset of M. tuberculosis samples with both genetic and drug susceptibility testing data. This data has many potential uses within OxCo4TB and e.g. be used to help choose drug candidates that are less likely to evolve resistance or assess if a candidate is likely to be equally effective in all geographical lineages

The Job Description is here and the deadline is noon Friday 4 July.

If you are interested, drop me an email. If you want to apply please note the advert asks all candidates to complete and upload the Supporting Evidence Statement as part of their application.

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