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    Opportunity: Senior Bioinformatician -- Cancer, Ageing and Somatic Mutation Group @ Sanger Institute -- Cambridge, UK
    Submitted by Jennifer Chequer; posted on Thursday, April 11, 2019

    BACKGROUND

    The Wellcome Sanger Institute is a charitably funded research centre and committed to training the next generation of genome scientists. Focused on understanding the role of genetics in health and disease and a world leader in the genomic revolution, our mission is to use genome sequences to advance understanding of human and pathogen biology in order to improve human health. We aim to provide results that can be translated into diagnostics, treatments or therapies that reduce global health burdens. Our science is large-scale and organised into Programmes, led by our Faculty who conceive and deliver our science, and supported by our Scientific Operations teams responsible for all data production pipelines at the Institute.

    We have a statistical analysis and development opportunity within the Cancer, Ageing and Somatic Mutation Group (CASM). It will be embedded in a large multidisciplinary team and will be tasked with further developing our cancer analysis algorithms specifically for cancer predisposition and cancer evolution.

    RESPONSIBILITIES

    The role involves working closely with scientific/IT staff within CASM to develop novel analysis strategies and actively contribute to the statistical modelling and data analysis of this important study. In addition, the role will also involve improving existing algorithms and developing new software when required as well as analysing whole genome sequencing and single cell data.

    The position would suit a Bioinformatician/Statistician who enjoys developing algorithms and statistical modelling to analyse complex NGS biological data sets. We are looking for an individual who enjoys working in a multi-disciplinary team environment, to help solve complex IT issues, which will ultimately aid our analysis of cancer related datasets.

    REQUIREMENTS

    Essential skills/experience:
    • Degree in Bioinformatics, Mathematics, Statistics or Computer Science with a scientific background.
    • Software development skills (using Perl and/or Python)
    • Experience of bioinformatics and familiarity with genome data
    • Evidence of proficiency in Perl programming or another modern computer language
    • Strong UNIX/LINUX skills
    • Experience of working with biological analysis pipelines on multi-node compute clusters
    • Proficient in statistical analysis of genome-wide datasets
    • Previous scientific publications
    • Enjoy working as part of a team

    TERMS

    5 years fixed term contract

    LOCALE

    Hinxton, Cambridgeshire, UK

    COMPENSATION

    Salary in the region of £36,737 - £44,451 (dependent on experience) plus excellent benefits

    Our Benefits: Our employees have access to a comprehensive range of benefits and facilities including:
    • Defined Contribution Pension Scheme and Life Assurance
    • Group Income Protection
    • Private Health Insurance
    • 25 days annual leave, increasing by one day a year to a maximum of 30
    • Family friendly environment including options for flexible and part-time working, a childcare voucher scheme, Campus Nursery and Summer holiday club
    • Two days paid Employee Volunteering Leave a year
    • Employee Discount Scheme
    • Campus Gym, tennis courts, cricket pitch and sports hall plus a range of dining facilities
    • Active Campus Sports and Social Club
    • Free Campus Bus Service

    HOW TO APPLY

    Please include a covering letter and CV with your application. Please visit jobs.sanger.ac.uk/wd/p[...]84154

    DEADLINE

    8th May 2019

    POLICY

    Genome Research Limited hold an Athena SWAN Bronze Award and will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

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