Provide expert analysis of high-throughput genomic data, using a wide range of biological resources and bioinformatic methods; Develop methodologies and techniques to address analysis issues and implement software and data resources in relation to these technologies; Evaluate and provide software, databases, protocols and methods to aid in the analysis of genomic and genetics experiments from academic and commercial sources; Provide consultation and communication in data analysis, data mining, statistics, genomics and other areas of bioinformatics, to Crick scientists; Collaborate in developing the Core with other members of the Bioinformatics group, Crick scientists and other bioinformatics research groups within the Crick
Higher degree in a relevant subject with an extensive analytical component e.g. bioinformatics, statistics, molecular biology or mathematics; An understanding of programming, particularly with regard to big data, data visualisation and data-mining techniques within a genomic or genetical environment; Familiarity with the application of statistical techniques to biological data; A basic knowledge of molecular biology, genetics, model organisms and possibly cancer biology and immunology; A broad comprehension of high throughput genomic technologies; A working knowledge of how to design and build data resources, and their use
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