Location: | London |
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Salary: | £49,017 to £57,472 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 10th September 2025 |
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Closes: | 30th September 2025 |
Job Ref: | MED05279 |
About the role
Are you interested in using your computational biology skills to advance understanding of rare tumours and identifying biomarkers that will improve patient management?
We are the world leaders in treating and undertaking research into gestational trophoblastic disease, a rare collection of disorders of the placenta that include some cancers where novel treatments and biomarkers are still urgently needed. As a key member of our translational research team, your work will directly impact patient care.
Due to their placental origin, these tumours are unique in that they are genetically distinct from the patient in which they arise. We know relatively little about what causes these tumours to arise and what molecular mechanisms underpin response or resistance to treatment, but a subset are diagnosed following a pre-malignancy called an atypical placental site nodule (APSN).
Using RNA sequencing and other omic data from APSN and tumours specimens, you will identify markers/pathways that predict which APSN become malignant and those that distinguish good-prognosis from poor-prognosis tumours. As well as improving our understanding of the drivers and mechanisms of resistance in these tumours which may lead to identification of new therapeutic targets, identifying prognostic biomarkers will lead to personalised risk stratification and improved clinical management.
What you would be doing
You will be the lead researcher analysing sequencing data from tumour specimens. The initial focus of the project is analysis of RNA sequencing data, with opportunities for analysis of circulating tumour DNA, DNA methylation and other datasets. Analysis will involve using existing tools and developing new approaches with genomics collaborators.
What we are looking for
We are seeking an individual with experience of processing and analysing genomic data using existing tools (e.g. EdgeR/DeSeq2 for RNAseq) and developing new code using programming languages such as R or python.
A PhD in computational biology or PhD in molecular biology, oncology or genetics with a demonstratable emphasis on computational analysis is essential.
What we can offer you
Further information
This role is offered on a full time, fixed term basis until 30th June 2028 in the first instance.
If you require any further details about the role, please contact: Dr Geoffrey Maher (geoffrey.maher@imperial.ac.uk)
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