Bioinformatics Analyst

  • Location

    London

  • Sector:

    Life Sciences

  • Salary:

    Negotiable

  • Contact:

    Janne Bate

  • Contact email:

    Janne.Bate@volt.eu.com

  • Job ref:

    75624-ITENG-JNB_1576753902

  • Published:

    over 4 years ago

  • Expiry date:

    2020-01-18

  • Start date:

    ASAP

We are looking for an experienced Bioinformatician with a background in statistical bioinformatics, statistical genetics, Biostatistics, or a related strongly quantitative discipline, with postdoctoral experience in fields related to statistical genetics or genomics to provide high calibre bioinformatics research support to external researchers and industrial partners by enabling analysis, facilitating access to datasets and how to analyse clinical and genomic data and use tools and services to realise the maximum value.

*The role will include collaborating internally, particularly with others in the Research Environment team, Chief Scientist's team, our Commercial team, Bioinformatics team and software and infrastructure engineers, to develop and deploy suitable solutions for customers. Development of Bioinformatics datasets, resources, and scripts that will enable downstream analyses for users of the research environment and carrying out complex custom computational analyses


The role requires:
*Proven ability to communicate with key customer and internal stakeholders from diverse backgrounds (e.g. management, IT, R and D, biology, bioinformatics)
*Strong statistical analysis skills and experience of bioinformatics research and analytics using large human genomic datasets alongside clinical data
*Excellent team working skills and comfortable working as part of matrix teams and as part of external teams to ensure delivery.
*Experience with cloud-scale data processing and high-performance computing.
*Demonstrated knowledge and competence in relevant programming languages and applications (e.g. R, Python) and experience of using a suite of bioinformatics tools to problem solve and answer research questions.
*Proven understanding of clinical and phenotypic data management and the sensitivities surrounding patient cohort data.
*Willingness to travel occasionally to meet customers or to attend events to gain market insight.