Ref Number B02-08804 Professional Expertise IT and Digital Department School of Life & Medical Sciences (B02) Location London Working Pattern Part time Salary See advert text Contract Type Fixed-term Working Type On site Available for Secondment No Closing Date 24-Jun-2025 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. 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 We are looking for an enthusiastic and experienced data scientist to work closely with the PIs and the statistical and management team of the North Star project, a large natural history study on Duchenne Muscular Dystrophy (DMD). The appointed person will work on the North Star database to facilitate data cleaning, extraction and analysis. The database include clinical and physiotherapy assessments of individuals with DMD followed at the 23 national North Star centres, and the data collected are crucial to design natural history trajectories of the disease, design clinical trials and monitor long-term safety and efficacy profiles of approved medications. This is a part-time (0.5 FTE) post and salary is £43,374 pro-rata, pa. About You The successful candidate will have PhD or MSc in Computer Science / IT / Software Engineering / Information Systems / Maths / Technical Subject and previous experience. Technical experience of data management in clinical research, including the use of REDCap, knowledge of data governance and regulatory standards for clinical data management. Excellent programming skills – Python / SQ L/ GitHib / GitLab and experience in Technical documentation (GitHub / GitLab) are essential. Please check JD/PS for detailed information. 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 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/ If you have any queries regarding the application process, please contact Madhur Sharma on ich.hr@ucl.ac.uk quoting job reference Available documents Attached documents are available under links. Clicking a document link will initialize its download. • download: JD-Data Scientist UCL\_May2025 0.5.docx