Research Fellow – Bioinformatics

    Research Fellow – Bioinformatics at UCL

    Website University College London

    Job Title: Research Fellow – Bioinformatics

    Ref Number: B02-05484
    Professional Expertise: Research and Research Support
    Department: School of Life & Medical Sciences (B02)
    Location: London
    Working Pattern: Full time
    Salary: £40,524 – £48,763
    Contract Type: Fixed-term
    Working Type: Hybrid (20% – 80% on site)
    Available For Secondment: No
    Closing Date: 28-Sept-2023

    About us

    The mission of the UCL GOS Institute of Child Health is to improve the health and well-being of children, and the adults they will become, through world-class research, education and public engagement. The UCL GOS ICH, together with its clinical partner Great Ormond Street Hospital for Children, forms the largest concentration of children’s health research outside North America. GOS ICH’s activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. GOS ICH generates the funding for our research by setting out our proposals in high quality applications to public, charitable and industrial funding bodies and disseminates the results of our research by publication in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teaching and life learning programmes which address the needs of students and professional groups who are interested in and undertaking work relevant to child health. GOS ICH holds an Athena SWAN Charter Gold Award.

    About the role

    The post holder will be responsible for bioinformatic processing and analysis associated with all lab projects. Based at The Francis Crick Institute working in the Mosaicism and precision Medicine laboratory. They will apply bioinformatics and statistical analysis methods in collaboration with other Bioinformatics and Scientists, and work on setting up and maintaining data processing pipelines. The work will require mastering detection of mosaic variants from NGS data of all types, including both SNVs and CNVs, and mosaic transcript expression. Germline burden analyses from in-house datasets and public datasets will also be required in the context of mosaic disease susceptibility. This post is available as 3 years fixed-term contract.

    About you

    PhD in bioinformatics or comparable levels of experience, BSc or similar undergraduate degree in a natural science or computer science field, experience in analysing and interpreting genomic and transcriptomic data sets, particularly in Cancer Genomics and proficiency in at least one scripting language, such as Python or R are essential. Knowledge of TCGA/PCAWG/UKBiobank/100K genomes research environments, experience of bioinformatic analysis in mosaic diseases or other somatic disorders and experience in managing and processing data using an HPC cluster or cloud infrastructure (e.g., AWS, GCP) are desirable. Please check JD for further details.

    What we offer

    As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days) • Additional 5 days’ annual leave purchase scheme • Defined benefit career average revalued earnings pension scheme (CARE) • Cycle to work scheme and season ticket loan • Immigration loan • Relocation scheme for certain posts • On-Site nursery • On-site gym • Enhanced maternity, paternity and adoption pay • Employee assistance programme: Staff Support Service • Discounted medical insurance Visit to find out more.

    Our commitment to Equality, Diversity and Inclusion

    As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here : If you have any queries regarding the application process, please contact Madhur Sharma on quoting job reference

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