|Salary:||£33,295 to £43,087|
|Placed On:||12th July 2019|
|Closes:||4th August 2019|
Length of Contract: 3 years in the first instance
The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.
Under the leadership of our Chief Executive, Professor Paul Workman FRS, the ICR is ranked as the UK’s leading academic research centre. Together with our partner The Royal Marsden, we are rated in the top four cancer centres globally.
The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission – to make the discoveries that defeat cancer.
We are seeking an analytical scientist with experience in Statistical Bioinformatics to join the Breast Cancer Research Bioinformatics Group at the Breast Cancer Now Centre (ICR, South Kensington, Chelsea, London). Our goal is to use cutting-edge data-mining techniques in collaboration with experimental investigators to identify new molecular markers of breast cancer. Resultant markers will be validated by co-investigators at the centre and at the clinical trials unit of the ICR.
You will work as part of a team of inter-disciplinary data scientists who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique learning opportunities. Your work will focus on the development and validation of hypotheses, dissecting genetic/genomic and transcriptomic assays to delineate driver genes and pathways of breast cancer. The work will include application of existing tools as well as development of statistical methods using in-house and publicly available datasets. These datasets will require strong statistical and analytical skills to perform integrated analysis and visualisation of complex multi-omic datasets. You will have opportunities to create/optimise computational pipelines and develop new statistical methods for the analysis and interpretation of big data in breast cancer. You will work closely with experimental biologists and hence it is essential to be able to communicate your findings effectively to biologists and clinicians.
Responsibilties and duties will include:
Applicants should hold a degree in a computational subject, have experience in statistical programming and scripting, and must have a basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s.
Appointment will be on a fixed term contract for 3 years in the first instance. The starting salary is within the range of £33,295 - £43,087 p.a. inclusive, based on relevance of skills and experience. It is anticipated that interviews will take place in mid-August.
We consider all applications on merit and have a strong commitment to enhancing the diversity of our staff.
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