Research Assistant – Data

About us

The mission of the UCL GOS Institute of Child Health is to maximise and advocate for the holistic health of all children, young people 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. The 2024-29 GOS ICH strategy focuses on its five scientific programmes. GOS ICH’s activities include active engagement with children and families, to ensure that our work is relevant and appropriate to their needs. 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

This exciting opportunity working with Professor Wedderburn and Dr Wilkinson is a data managing role with focus on data entry, curation and analysis. The post will provide excellent training and opportunities to contribute our large Uk wide studies in childhood onset arthritis and myositis. The post holder will receive training in clinical and health outcomes data, database use, query of databases for data analysis and R skills. They will learn about handling clinical and high dimensional omics data analysis. The salary range for this post is £39,148 per year and the post is funded for 12 months in the first instance.

About you

The post holder should hold an honours degree in a relevant subject such as statistics, mathematics bioinformatics or computational biology. Ideally they should have experience in data managing and handling from human translational studies. Experience or knowledge of management and recording of clinical data and metadata for example in the RedCAP platform would be an advantage. The individual will be highly motivated to learn new skills and succeed in research, have excellent organizational, time management and communication skills, be prepared to work to deadlines and in an independent manner, and have the ability to work well in a multi-disciplinary team both at UCL and with diverse collaborator.