Research Associate: Biomechanics in Cardiovascular Disease
The successful applicant will be responsible for developing and integrating tools for clinical and imaging data analysis and mechanical analysis, including statistical modelling for analysing outcomes in relation to imaging biomarkers.
This role will expand the current Congenital Heart Disease study of the Cardiac Atlas Project database to include a large cohort of patient with post-operative tetralogy of Fallot, and to use the patient cardiac magnetic resonance (CMR) exams and other clinical data to derive statistical atlases of shape, biomechanics and electrical dyssynchrony. These atlases will be used to test hypotheses, such as the optimal time to replace the pulmonary valve, and discover clinical biomarkers that predict outcomes of pulmonary valve replacement based on variations in ventricular shape, mechanical properties and electromechanical dyssynchrony.
The applicant should ideally have some knowledge and experience of, Biomechanics of soft tissues, data science, statistical modelling, scientific programming. The position would appeal to a candidate with strong software development skills, including finite element analysis, large deformation high order elements, statistical modelling packages (R, Stata, …)
An interest in cardiac medical imaging is important, but previous experience is not essential. Strong communication skills are required to work with researchers from other disciplines, such as clinical end-users, and industry collaborators.