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Research Associate

University of Sheffield - School of Medicine & Population Health

Location: Sheffield
Salary: £37,999
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 30th January 2025
Closes: 13th February 2025
Job Ref: 721

Applications are encouraged for an enthusiastic Postdoctoral Research Associate to join the laboratory of Dr Iwan Evans in School of Medicine and Population Health (https://staff.sheffield.ac.uk/smph) at the University of Sheffield. We have an exciting opportunity for someone with a passion for cell and developmental biology looking to use their skills in genetics and live imaging to make an impact on inflammation. We use fruit flies (Drosophila melanogaster) to understand macrophage cell biology in vivo.

Through our recent BBSRC-funded project, you will address the mechanisms by which macrophages are retained at sites of inflammation: control of immune cell numbers at these locations has important consequences for a broad range of human pathological conditions including chronic wounds, cancer, neurodegenerative diseases and atherosclerosis.

Using fly genetics and live imaging techniques, you will uncover how macrophages are maintained at wounds, while a proteomic approach will be used to identify novel regulators of this process. This will build upon our recent study published in PLoS Biology (Roddie et al., 2019).

You will possess a PhD in biological/biomedical science (or a related area), previous research experience working with flies (or another relevant genetically-tractable, multicellular model organism) and excellent molecular biology skills. Ideally you will have a background in cell biology, developmental biology or immunology, while standard techniques associated with these fields (such as cell culture, microscopy and immunostaining) and experience handling large datasets (e.g., proteomic or transcriptional profiling data) would also be advantageous. There is a novel proteomic strand to this project, therefore previous experience of proteomics and/or biochemical approaches are essential. An ability to work as part of our team, and to plan, run and analyse your own experiments are also critical.

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