Postdoctoral Research Scientist - Epitranscriptomics

University of Oxford Oxford, United Kingdom

About the position

Postdoctoral Research Scientist - Epitranscriptomics
University of Oxford
Oxford, United Kingdom
GBP 39,424 - 47,779 per year
We are seeking to appoint two Postdoctoral Research Scientists in Epitranscriptomics to join Dr Chunxiao Song’s research group at the Target Discovery Institute, Nuffield Department of Medicine. You will contribute to research investigating the role of pseudouridine and pseudouridine synthases (PUS) in cancer, alongside exploring the clinical applications of pseudouridine in circulating cell-free RNA for cancer diagnostics. The group develops cutting-edge technologies for high-resolution mapping of DNA and RNA modifications, translating discoveries in epigenetics and epitranscriptomics into diagnostic and therapeutic opportunities.
You will be responsible for managing and leading research projects, developing and adapting experimental techniques, testing hypotheses and analysing scientific data. The role includes contributing to research development and funding proposals, preparing scientific reports and journal articles, presenting research findings and providing specialist advice on experimental protocols and techniques. You will also collaborate with researchers and partner institutions, contributing to the development of innovative approaches in RNA biology and epitranscriptomics.
It is essential that you hold, or are close to completing, a relevant PhD/DPhil in Molecular Biology, Biochemistry, Cell Biology, Chemistry or a related scientific discipline, together with relevant research experience. You should have strong practical skills in molecular biology, biochemistry or cell biology, specialist knowledge of RNA biology or epitranscriptomics, and the ability to independently manage and lead research projects. Excellent communication skills and experience contributing to scientific publications are also required. Experience with next-generation sequencing, bioinformatic data analysis, liquid biopsy or cell-free RNA sequencing, supervising researchers or students, and first-author publications in a relevant field would be advantageous.
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Deadline 11 November
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