Senior Research Fellow in Ophthalmic Biostatistics - London, United Kingdom - UCL

Description

About us

The mission of the UCL Great Ormond Street Institute of Child Health is to improve the health and well-being of children, 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. 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.

About the role

The Vision and Eyes Group UCL is offering an exciting opportunity to an experienced postdoctoral research statistician to join us in a unique post that combines working on programmes of ophthalmic epidemiological research with a statistical advisory role in clinical ophthalmic research as well as teaching opportunities.

The post is funded by the Ulverscroft Foundation.

The successful candidate will be based in the Population, Policy and Practice Department at GOS ICH UCL. The post-holder will be expected to work independently and as part of a team, to liaise and work collaboratively, to lead or contribute to publications and to present the results of their work at study meetings, and at national or international scientific meetings, as appropriate.

The salary offered in this post is £51,474 - £54,294 per annum and it is funded for 36 months in the first instance.

About you

Applicants must have a PhD in Statistics or equivalent experience and a good level of relevant postdoctoral research experience including data analysis of large, complex healthcare datasets alongside good programming skills in at least one statistical language, (e.g. Stata or R) and experience of writing papers for peer-reviewed journals. It is essential that candidates have a strong working knowledge of research methods in statistics and epidemiology and have strong statistical analytic skills.