Research Assistant - UOD2345


Company:	University of Dundee
Salary:	Not specified
Hours:	Full-time
Location:	Dundee, DD1 4HN
Job type:	Contract
Posting date:	3 Sept 2026
Closing date:	17 Sept 2026

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Summary

We are seeking a highly motivated Research Assistant with a strong interest in T cell immunology and autoimmune disease, together with basic experience in sample preparation, liquid chromatography-mass spectrometry (LC-MS), and the analysis and interpretation of proteomics datasets. You will join the Antigen Discovery Group, whose research focuses on defining the molecular mechanisms of Human Leukocyte Antigen (HLA) processing and presentation and understanding how these shape T cell recognition across a range of disease settings.

As a key member of the laboratory, you will process diverse biological samples using immunoprecipitation, chromatography, mass spectrometry, and computational data analysis to characterise HLA-presented antigens. You will contribute to multiple cutting-edge research projects within the School of Life Sciences while having the opportunity to develop your own scientific interests and research direction.

You should hold a degree in Biology, Immunology, or a related discipline and have practical laboratory experience. Experience in studying antigen presentation, T cell responses, or immunogenicity in autoimmune disease, together with familiarity with LC- MS-based proteomics or immunopeptidomics workflows, would be highly desirable.

The post is based within the School of Life Sciences at the University of Dundee, providing access to world-leading research facilities, including state-of-the-art mass spectrometry platforms. You will join a collaborative and internationally recognised team dedicated to advancing our understanding of HLA biology and discovering clinically relevant antigens to support the development of next-generation immunotherapies.

Please note that applications made on a part-time basis for this role will be considered.

Your priorities will include:

Manage your own schedule in the laboratory including sample preparation and cell culture.

Lead data analysis using existing software packages and integration of further analysis tools into existing pipelines available in the group (training available)

Oversee the generation of proteomic and immunopeptidome datasets from cells and primary mammalian tissue samples and apply scientific techniques and experimental protocols in the context of internal and external collaborations