Overview
The UCL Cancer Institute is the hub for cancer research at University College London, one of the World’s leading universities. The Institute draws together over 400 talented scientists who are working together to translate research discoveries into developing kinder, more effective therapies for cancer patients. It fosters links between basic cancer researchers across Biomedicine and with the clinical activities of our four partner hospital trusts, known as UCL Partners (University College London Hospital NHS Foundation Trust, Great Ormond Street Hospital for Children NHS Trust, the Royal Free Hampstead NHS Trust, and Moorfields Eye Hospital NHS Foundation Trust), as well as the London School of Pharmacy and Cancer Research UK. Further information about the UCL Cancer Institute can be found on our website https://www.ucl.ac.uk/cancer/.
Responsibilities
We are seeking a collaborative and self‑motivated computational biologist post‑doc to work on cancer evolution, metastatic migration, tumour plasticity, the tumour microenvironment and drug resistance. The project will focus on exploiting novel sequencing data to explore cancer evolution and metastasis – identifying the key genetic and non‑genetic features that govern metastatic spread across the body. The candidate will be expected to develop and make use of bioinformatics techniques to shed light on the extent of intra‑tumour heterogeneity, mode of tumour evolution and nature of evolutionary dynamics. Among other datasets, analysis will include utilizing next‑generation sequencing (NGS) data from the LUMES lung cancer metastasis programme. This will involve novel long‑read sequencing data, spatial transcriptomics, single cell DNA sequencing and circulating biomarkers.
Funding & Salary
The starting salary is contingent on the candidate’s previous experience. Appointment at Grade 7 or 8 is dependent upon having been awarded a PhD and subsequent experience; if not, initial appointment will be at Research Assistant Grade 6B, with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. The post is funded for 2 years in the first instance.
Qualifications
Prospective candidates must have a postdoctoral qualification (PhD) or be studying toward a PhD, evidence of independence and original contributions to research, and good presentation skills (to internal and external audiences, including international conferences). For appointment at Grade 8 prospective candidates must have previous postdoctoral experience and prior experience with the exploration of spatial‑omic data.
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