Research Fellow - Bioinformatician (UCL Genomics)

About us

The UCL Great Ormond Street Institute of Child Health (GOS ICH) 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-cla! ss educat ion 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

Applicants are invited for a Bioinformatician position within the UCL Genomics facility based in the Zayed Centre for Research into Rare Disease in Children. We are seeking a highly motivated Bioinformatician with an interest in providing bioinformatics support to facility users requiring analysis of sequencing data to join our collaborative genomics facility. The successful applicant will join a very busy facility and work closely with our Lead Bioinformatician to provide all aspects of data analysis, data QC and data storage/processing infrastructure. The post is available initially until 30 November 2024 funded by an NIHR GOSH BRC award with the possibility of extension.

About you

Applicants should have an experimental or computational PhD or considerable relevant experience in the analysis of next-generation sequencing data. An understanding of computational methods and experience with programming languages such as Python and R are essential. Experience of pathogen genomics, analysing single cell and multiomics data are desirable although the successful applicant will receive training. Experience with Nextflow and Github, and handling large microarray datasets is advantageous. The post holder must be able to manage multiple projects and have excellent communication skills to liaise with the Lead Bioinformatician, facility users and the facility team. The successful applicant will be expected to contribute to postgraduate education and experience of this is desirable.

What we offer

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. Our commitment to Equality, Diversity and Inclusion At GOS ! ICH we ai m to always have a balanced interview panel that is representative of gender and ethnic diversity. A job description and person specification can be accessed at the bottom of the page. To apply for the vacancy please click on the ‘Apply Now’ button below. If you have any queries regarding the application process, please contact Madhur Sharma on quoting job reference

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