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    Opportunity: Computational Biologist, NGS/Proteomics @ Life sciences company -- Sutton, UK
    Submitted by Eugene Mc Daid; posted on Tuesday, January 29, 2019



    The role 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. 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 two positions available within this team:
    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


    • 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 area of research.
    • Develop innovative pipelines for large-scale data analysis.
    • Report the results of bioinformatics analyses to research teams across the organisation.
    • 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.
    • Deliver high quality work against clear deadlines.


    • PhD in Cancer Biology, Genetics, Computer Science or associated subject
    • 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
    • Proven experience in the development of software pipelines to implement analysis workflows
    • Proven experience in use of high performance computing platforms and Unix-like operating systems
    • Proven experience of writing and maintaining code using one or more of the following: Python, Perl, R, Matlab, Git
    • A good working knowledge of bioinformatics suites including NGS analysis pipelines such as Broad Best Practice workflows
    • Ability to implement analysis pipelines using appropriate and relevant scripting languages such as Python, Perl, R or Matlab
    • Ability to effectively work on HPC systems in a Unix environment
    • Ability to keep abreast of and rapidly become familiar with new bioinformatics tools and databases
    • Ability to write reports that clearly convey information to other scientists


    There are some great benefits available with this position including a competitive salary and the chance to work with some of the brightest minds in the industry, looking to revolutionise the way healthcare is carried out in the UK.

    Please do not hesitate to contact Harvey Uppal at huppal[at] or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Computational, Biology, Genomics, Bioinformatics, NGS, Proteomics, WES, WGS, RNA, Analysis, Machine, Learning, Cancer, Python, Perl, Git, Pipelines, South, London, Sutton.

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