Clare is a chartered statistician who joined the MIC in April 2018. She has over 30 years of experience of programming in languages such as SAS, visual basic, and R. Previously she worked for Sanofi where she oversaw the development of a data analysis system and drugs through preclinical stages to regulatory submission. More recently, working at Newcastle University, Clare has provided statistical support for undergraduates, PhD students and researchers; become familiar with NHS data, including setting up an MS-Access based database for the bone-marrow transplant team; and contributed to various ethics submissions for research projects.
At the MIC Clare focusses on the quantitative statistical aspects of projects with a focus on diagnostic accuracy studies. Her recent work includes developing data monitoring algorithms for early-to-clinic diagnostics. She has a longstanding methodological interest in developing biomarkers to ensure they are fit for purpose within healthcare settings. Clare also serves on a national scientific review panel for a charity investigating diagnostics.
• You need statistical advice on measuring the diagnostic accuracy of your test • You need statistical support on measuring the diagnostic accuracy of your test • You have a research interest in developing biomarker panels for diagnosing conditions