Research Associate

A Research Associate funded by a Wellcome Trust Collaborative Award in Science is available in the research group of Professor Dylan Childs. The grant is led by Professor Michael Brockhurst at the University of Manchester, together with lead investigators Professor Dylan Childs at the University of Sheffield, Professors Steve Paterson and Joanne Fothergill at the University of Liverpool, and Professor James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network.

This Collaborative Award is investigating the evolutionary mechanisms of resistance to ciprofloxacin during treatment for chronic lung infections caused by Pseudomonas aeruginosa. The overarching goal of the project is to develop biomarkers that can predict which patients are at risk of developing resistance. Work at Manchester and Liverpool has focused on discovering the mechanisms of resistance emergence in clinical isolates of Pseudomonas aeruginosa lung infections. This includes genomics and high-throughput phenotyping of the evolution of antibiotic resistance and characterising the host- and microbiome-related drivers of antibiotic resistance evolution in patients.

Combining these data with the patient information, the Sheffield arm of the project will develop traditional statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection.

Applicants must have a PhD (or be working towards a PhD) in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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