Jobs

    Senior Bioinformatician - Antrim, United Kingdom - Randox

    Randox
    Randox Antrim, United Kingdom

    1 week ago

    Default job background
    Permanent
    Description

    The Role:

  • To work in a team providing NGS, SNP array and other computational biology related fields.
  • To ensure that all work is done in compliance with ISO17025 / 15189 / CAP requirements.
  • To ensure that all NGS data handling pipelines are accurate and cross checked with alternative analysis methods.
  • To develop new bioinformatics pipelines as required by Randox Genomic Services group.
  • To use commercial bioinformatics packages such as BaseSpace and apply filters and macros to assist with data output.
  • To use a range of packages to provide a comprehensive data overview for reporting scientists.
  • To apply a systematic approach for the analysis of NGS sequence data and produce supporting SOPs, validation reports, work instructions, etc.
  • Deliver presentations on NGS data and other related computational biology fields.
  • To assist in the training and development of staff and the conducting of training reviews.
  • To attend meetings of various national and international societies.
  • To attend internal staff meetings and meetings with senior management as required.
  • Ability / flexibility to occasionally travel worldwide if necessary.
  • To ensure strict adherence to the company's Confidentiality Policy within and outside the organisation.
  • The candidate:
    Essential:
  • Qualified to honours degree level in biosciences or related field.
  • To have a PhD in a computational biology related field or to have a relevant postgraduate MSc degree in either bioinformatics, computer science, etc, with three years' experience in the bioinformatics field.
  • Experience in the use of Linux and High-Performance Computing.
  • Experience with programming languages, for example, R or Python.
  • Experience in the use of GitHub.
  • Experience in analysing Illumina NGS sequence data.
  • Desirable:
  • Experience in analysing Nanopore NGS sequence data.
  • Experience with Machine Learning or AI applied in biology.