Closing Date 02/12/2018, 23:55
Location Sutton and London
Division Strategic Initiatives
Team Strategic Initiatives
Vacancy Type Full time
Type of Contract Fixed Term
Length of Contract 2 years
Hours per Week 35
Salary Range £36,989 – £50,438
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 up to six talented computational biologists, bioinformaticians or biostatisticians to join our vibrant department.
The roles will focus on the development and application of state-of-the art bioinformatics, computational biology and/or biostatistics analyses for key projects to support cancer research across the ICR. The post holders will work with multidisciplinary teams including drug discovery and/or clinical teams. The post holder will contribute to the formation of the scientific questions and defining the required experiments and approaches needed to address those questions. The post holders will be expected to implement and perform the relevant analyses, interpret them in the context of the project present the results to project teams as well as internal and external collaborators. The post holder will be expected to demonstrate proactivity, take initiative and identify and use the most appropriate state-of-the-art computational tools to answer the specific scientific questions.
There are several opportunities in the department in the following areas:
1) Bioinformatics with focus on Next Generation Sequence analysis, primarily on somatic data. Analysis of Whole Genome, Whole Exome, RNAseq and other biological data
2) Bioinformatics with focus on Proteomics analysis including SILAC and TMT data analysis using relevant software such as MaxQuant
3) Biostatistics and advanced Machine Learning applied in drug discovery, clinical research and radiation oncology
We consider all applications on merit and have a strong commitment to enhancing the diversity of our staff.