The Tumour Functional Heterogeneity (TFH) team, led by Dr Marco Bezzi, combines preclinical modelling, functional genomics approaches and multi-parameter single cell analysis to investigate tumour heterogeneity. Two major research areas of the lab are i) identification of cancer trajectories of convergent evolution in response to therapy and ii) mechanisms of co-operation between cancer clones within their microenvironmental context. Ultimately, the TFH lab aims to design innovative therapeutic approaches that exploit cancer vulnerabilities and anticipate drug resistance. The TFH lab is part of Centre for Evolution and Cancer and of the Division of Molecular Pathology. It is located at the newly built, multidisciplinary Centre for Cancer Drug Discovery in Sutton, London.
We are looking for an enthusiastic postdoctoral research fellow to deliver a CRUK funded research program that will shed light on how intra-tumoural phenotypic diversity affects clonal dynamics and their interaction with the tumour microenvironment. The successful candidate will collaborate with other members of the lab to generate high-dimensional datasets (CyTOF, CODEX and scRNA-seq) using organoids and in vivo models of prostate cancer. The post-holder will be leading on the bioinformatics analysis under the supervision of the team leader and the co-supervision of Prof Andrea Sottoriva, leader of the Evolutionary Genomics and Modelling team.
The ideal candidate holds a PhD/DPhil (or near completion) in bioinformatics or computational biology with a strong background in cancer biology and an undergraduate degree in molecular biology or similar subject. Significant wet-lab experience in sample preparation for high-parameter cell suspension profiling, multiplexed spatial tissue imaging and single-cell RNA sequencing would be an advantage. Demonstrable R programming skills and experience of analysis of CyTOF data are essentials. Informal enquires are welcome and can be made to Dr Marco Bezzi ([email protected]
The appointment will be for 3 years.
To apply, please submit an application on the ICR Careers site, attaching your CV with the supporting statement (addressing with specific examples where you meet the person specification, a brief description of your relevant experience and incl. the names and addresses of at least two referees). Ref.1275