Associate Lecturer (Teaching)

UCL • Full-time • Remote (Anywhere) • £47.45k - £52.59k / year • 19h ago

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 teachin g 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

The appointee will contribute to the statistics and research methods training programme run by the Centre for Applied Statistics Courses (CASC) within the GOS ICH and Great Ormond Street Hospital, ranging from conception to delivery and evaluation of teaching (www.ucl.ac.uk/stats-courses). They will be expected to develop new training materials as handouts, lectures, leaflets, or in e-format as required.

About you

The successful candidate must have a degree (BSc or MSc) or PhD in statistics. The successful candidate must have evidence of ability to collaborate with and explain statistical ideas to non-statisticians and be experienced with at least one basic statistical package such as SPSS, Stata or R. Excellent written and verbal communication skills are essential.

Customer advert reference: B02-10102