Research Fellow – Department of Immunology and Immunotherapy – 107933 – Grade 7

Post Doctoral Research Fellow

Applications are invited for a 2 year full-time Post Doctoral Research Fellow with bioinformatics expertise to contribute to the analysis of large datasets collected from clinical trial patients with Post-transplant lymphoproliferative disease (PTLD). The appointed candidate would join the team led by Dr Heather Long in the Department of Immunology and Immunotherapy.

PTLD is a life-threatening B cell lymphoma that arises in 1-20% of transplant patients. Around 50% of cases are caused by reactivation of Epstein-Barr virus. Although the major risk factor for PTLD is long-term immunosuppression, the exact immune deficiencies that enable its development are unknown. Consequently there are no biomarkers that permit monitoring and early identification of patients at risk. Most patients therefore present with advanced disease which responds poorly to standard treatment.

Working alongside a UK clinical trial, we have generated large immune profiling data sets from PTLD patient and control patient blood and are performing single cell spatial transcriptomics to analyse the immune microenvironment of PTLD tumours. The appointed candidate will create and contribute to the creation of knowledge of the underlying immunology of PTLD through identification of immune-based biomarkers within the generated datasets and through integration of the laboratory data with patient clinical outcomes.

The candidate will be part of an integrative and multi-disciplinary team working collaboratively to deliver this workstream.

To apply, please upload a cover letter and CV.

We expect to interview shortlisted candidates in person.

Further particulars can be found here.

Informal enquiries to Heather Long, email: [email protected]

Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview.

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