We are seeking a highly motivated bioinformatics researcher to apply and develop computational approaches for investigating subclonal architecture and plasticity in treatment-resistant breast cancers. This position is based in the ICR-CTSU Integrative Genomics Analysis in Trials Group led by Dr Maggie Cheang.
The successful candidate will employ computational approaches to meaningfully integrate single-cell assays encompassing RNA, T/B cell repertoire, and spatial genomics to identify mechanisms of treatment resistance and therapeutic candidates. The successful candidate will have experience in the multimodal analysis of big data, in the statistical modelling of data sets produced both in-house and by collaboration, and in the visualisation of data by a range of methods bespoke for each analysis modality.
A working understanding of machine learning (ML), deep learning (DL), computer vision, and current computational methods in image analysis is desirable. This position is designed to provide the successful candidate with valuable experience in one of the leading global cancer institutions in discovery science within clinical trials and developing next-generation biomarkers.
The project offers experience in data science, such as statistical modelling and single-cell multi-omics, while investigating novel molecular biomarkers of aggressive breast cancers. The successful candidate will also have opportunities to optimise/extend our existing computational pipelines for pre-processing of big data in cancer trials (genomics, single cell and spatial technologies). Given the multidisciplinary nature of this position, the successful candidate is expected to play a key role in liaising with wet-lab scientists, as well as write-up of research results in a highly collaborative environment.
Key Requirements
Applicants should hold an MSc in computational/numerical subjects, have programming and scripting experience, and possess basic knowledge of biology. A background in the analysis and interpretation of single-cell assays would be highly valuable, and a PhD in computational or numerical subjects would be desirable.
Department/Directorate Information
ICR-CTSU manages an exciting portfolio of national and international phase II and III clinical trials and an expanding number of early phase I/II cancer trials. ICR-CTSU Integrative Genomic Analysis in Clinical Trials, under the academic leadership of Dr Maggie Cheang, is a multidisciplinary team, including statistical, computational and translational scientists, and analyses large datasets generated from bio-specimens collected in clinical trials to study the underlying biology of tumours.
