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    Senior Bioinformatics Scientist - United Kingdom - Cyted

    Cyted
    Cyted United Kingdom

    2 weeks ago

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    Description

    Job Summary

    The Senior Bioinformatics Scientist will work with the Director of R&D to support the day to day needs of the existing bioinformatics team members in data analysis, statistical modelling and project reporting. They will work across all major biomarker projects currently being undertaken by Cyted R&D to ensure project delivery and will help to develop existing team members skills. It is a hands-on analytical role in a small team that is still growing.

    Working Pattern and Location

    The role is a full-time and in-person position with a standard 37.5 hour working week.

    The Senior Bioinformatics Scientist will be based at the Cyted's Head Office, 22 Station Road, Cambridge, United Kingdom, CB1 2JD and will need to visit other company sites when and if required.

    What you will be doing

    • Supporting the day to day needs of the -omics analysis and computational modelling within the Research and Development team.
    • Planning and executing target discovery and validation projects.
    • Coordinating with the Project Manager to deliver new biomarker essays.
    • Supporting the bioinformatics team members and identifying relevant CPD for the team.
    • Helping to build analytical tool sets to be used within the team and projects.
    • Identifying and adopting the latest developments in computational genomics, bioinformatics and data driven diagnostics where appropriate.

    How we work

    • Our team works in an agile working environment, where everyone's ideas and opinions are valued. Have a better way of carrying out a process, we want to hear from you
    • We value user engagement.
    • We are committed to quality, looking to provide the best patient experience possible.
    • We all muck in No job is ever too small.

    Person Specification

    • PhD in relevant field (e.g. Molecular/Computational Biology, Bioinformatics, Physics or Statistics)
    • 3-5+ years industry experience post-PhD
    • Knowledge of computational biology and demonstrated application of statistical data analysis methods
    • Experience with the analysis of large -omics datasets
    • Strong, professional communication skills and excellent attention to detail, capable of developing good working relationships with diverse individuals
    • Skilled in applying machine learning to perform data mining and design diagnostic assays based on sequence and clinical data
    • Experience working within a team environment, particularly mentoring/supervising bioinformatics teams
    • Familiarity with clinical data analysis and clinical trial design
    • Knowledge of FAIR data principles
    • Expertise in programming appropriate large-scale molecular data analysis (e.g., Python, R, BASH)
    • Demonstrated written and oral scientific communication skills
    • Line management experience in a small team environment

    Benefits

    • A salary of between £75,000 and £90,000 dependent on experience
    • 25 days holiday per holiday year, plus public holidays
    • The option to buy 5 additional holidays
    • Pension Scheme
    • An annual continuing personal development budget
    • Medical insurance including dental and optical cover
    • Life insurance and Income Protection
    • Social events including Christmas and Summer parties
    • Cycle to work scheme
    • Electric Vehicle Scheme
    • Sabbatical after 4 years of service
    • Relocation allowance if applicable
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