|Salary:||£34,344 to £40,107|
|Placed On:||18th January 2023|
|Closes:||13th February 2023|
We are seeking a highly motivated bioinformatics postdoctoral researcher to apply and develop computational approaches that can identify new therapeutic candidates for aggressive breast cancers. The successful candidate will employ computational approaches to meaningfully integrate genomic profiles from public and in-house clinical cohorts with genome-wide perturbation screens (CRISPR-Cas9) to identify high-confidence therapeutic candidates.
The successful candidate will also have opportunities to optimise/extend our existing computational pipelines for pre-processing of big data in breast cancer (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 clinical and wet-lab scientists, as well as write up of research results in a highly collaborative environment.
General information on Post Doc's at The ICR can be found here.
The successful candidate must have a PhD* in a computational/numerical subject, have programming and scripting experience, and possess basic knowledge of biology. A background in analysis and interpretation of genomic datasets is essential, in particular CRISPR screens.
The ICR has a workforce agreement stating that Postdoctoral Training Fellows can only be employed for up to 7 years as PDTF at the ICR, providing total postdoctoral experience (including previous employment at this level elsewhere) does not exceed 10 years
*As a minimum requirement candidates must have submitted their thesis by the start date of their employment and awarded their PhD within the six month probationary period.
The Breast Cancer Now Toby Robins Research Centre at the ICR is the first centre in the UK entirely devoted to breast cancer research. Our goal is to advance research into the causes, diagnosis and treatment of breast cancer. It is located in state-of-the-art laboratory space, with excellent core facilities and funding.
The Breast Cancer Research Bioinformatics Team is an interdisciplinary group of researchers (~10) who are experts in genomic data analysis and machine learning. We work in a highly dynamic and collaborative environment focussing on the identification of molecular markers of breast cancer by interrogating genomic, epigenomic and transcriptomic datasets profiled using bulk as well as single-cell assays. These molecular datasets are generated using patient samples and patient-derived models (xenografts and organoids), and interpreted alongside clinical covariates of patients. In particular, we are interested in the application and development of bioinformatics methods to help understand the molecular basis of treatment resistant breast cancers.
We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Dr Syed Haider by emailing Syed.Haider@icr.ac.uk
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