Research Fellow - Data Scientist

About us

Our mission 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. 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. Please only attach relevant documents to your application (qualifications, cover letters, supporting statements) and avoid attaching large files e.g. research papers, thesis, publications etc.

About the role

We are seeking a motivated research fellow/data scientist with expertise in data pipeline architecture and master data management to join our team, and work within NHS England Data Linkage Hub on a temporary secondment. This role directly supports the delivery of nationally significant data infrastructure – the Indexing Service and Subject of Care Index (SoC Index) – foundational to enabling a Single Patient Record across health and care. The secondee will contribute to the design, scaling, and governance of high-quality linkage services, working in a multidisciplinary environment spanning data science, data engineering, architecture, and policy. This post is available at grade 6B (£39,148 - £41,833 pa) or grade 7 (£45,103 - £52,586 pa) depending on the qualifications and is funded until 31/10/2026 in the first instance.

About you

You will have expertise in data architecture and information governance. You will have ability to work collaboratively in a remote-first, multidisciplinary team. You will have good familiarity with data governance, ethics, and privacy frameworks in health or public sector contexts. You have practical experience in building production-quality data pipelines. You will have strong interest in developing skills and understanding of data linkage.

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

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 : https://www.ucl.ac.uk/equality-diversity-inclusion/

Customer advert reference: B02-10253