Data Scientist at University College London
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

24 Jul, 25

Salary

43374.0

Posted On

29 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

It

Industry

Pharmaceuticals

Description

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.

Responsibilities

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.

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