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Position: Computational Biologist
Institution: Institute of Cancer Research
Department: Strategic Initiatives: Department of Data Science
Location: London, United Kingdom
Duties: Provide bioinformatics analysis, support and interpretation for a variety of research and/or drug discovery projects. Work closely with other members of the department and project teams to deliver the scientific outputs to the projects. Stay abreast of the computational biology literature. Horizon scan for state-of-the-art tools and technologies that apply to the are of research. Develop innovative pipelines for large-scale data analysis. Report the results of bioinformatics analyses to research teams across the ICR. Contribute to publications, project reports and patents. Work and communicate with a diversity of scientific teams relating to individual projects. Present work at internal and external meetings
Requirements: A minimum of two years postgraduate experience working in bioinformatics or computational biology in cancer genomics or an associated field. Proven experience of bioinformatics analyses and interpretation in one or more of the following key areas: Transcriptomics, including next generation RNA-Seq pipelines for profiling transcriptional and splicing deregulation and RNA editing. Genomics, including mutation and copy number profiling of exome and whole genome NGS DNA-Seq data, using analysis pipelines such as the Broad Best Practice workflows. Quantitative Proteomics, including SILAC and TMT data analysis using relevant software such as MaxQuant
   
Text: Computational Biologist Closing Date 28/10/2018, 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. Vacancy Description 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. Job Description and Person Specification File upload field, to activate press space bar Job Description Computational Biologist.pdf Additional Documentation for Candidates
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