Research Fellow​/Senior Research Fellow

Research Fellow / Senior Research Fellow

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.

This post offers an excellent career development opportunity for a Researcher with significant experience in quantitative analysis, epidemiology, and health data science, and an interest in conducting research to inform practice for children and young people with or at risk of blinding disorders. The post is based within the Population Policy and Practice Programme (PPP) at the UCL Great Ormond Street Institute of Child Health (UCLGOSICH) and is funded until January 2030.

The post-holder will be joining the CHOIR (Childhood Ocular Inflammation Research, ) team. The CHOIR team conduct Wellcome Trust funded projects which share the primary aim of leveraging routinely collected clinical data, administrative datasets, patient generated data and imaging to improve our understanding of childhood onset blinding disorders and associated multi‑system disease. The research fellow will lead on electronic health record (EHR) data extraction and transformation, and develop linked clinical, education and administrative datasets.

They will also support the development of a national disease registry, and the development of common data models for childhood onset blinding eye disorders. This role will include general research support duties, such as research governance, communications, data management, and scientific dissemination. They will be expected to work independently and as part of a team, in a timely manner. Training will be provided to support personal development.

The post will require the post‑holder to be on site for a minimum of two days a week. The post holder will report to the study CI and line manager (Dr Ameenat Lola Solebo, ). Lola is a Wellcome funded Clinician Scientist within PPP, and a Consultant Paediatric Ophthalmic surgeon at Great Ormond Street Hospital. Her work investigates the determinants of outcome for children with eye disease, and how best to translate these findings into changes in practice and policy.

The salary offered in this role is either at grade 7 (£45,103 – £52,586 per annum) or grade 8 (£54,931 – £59,571 per annum) and is funded until 31/08/2029 in the first instance.

• Be committed to excellence in research culture: equity, diversity and inclusion, and open science
• Be committed to patient‑centred research
• Hold a PhD in epidemiology, health informatics, medical statistics, or a related discipline
• Have experience with large‑scale health datasets, including EHRs, administrative data and registry data
• Be proficient in use of database management and statistical analysis software (e.g. STATA and R)
• Have experience with data governance, ethics and information security protocols in the UK
• Have experience working with the OMOP Common Data Model or SNOMED‑CT terminology
• Be able to conduct high quality research in eye or child health related subject
• Have excellent administrative skills, and the ability to organise and prioritise workload
• Have excellent…