Research Associate in Biostatistics

Imperial College London

London, UK

37,486

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The post is one of two post-doctoral positions funded by a BHF New Horizons grant to investigate machine learning approaches for the integrated analysis of cardiac MRI and clinical data to make better predictions of patient outcomes in heart failure. For further information on the research program please visit digital-heart.org.

The post offers an exciting opportunity to work at the cutting-edge of machine learning in medicine by showing the added value of deep learning prediction in disease prognostication. The candidate will work in a vibrant multi-disciplinary team that crosses the domains of machine learning, clinical imaging and risk modelling in a world-leading research environment. The post holder will have the opportunity to liaise with an extensive network of collaborators, attend scientific conferences, and publish the results of their work in top journals.

This grant-funded project aims to develop end-to-end training of deep networks to predict patient outcomes from complex training data – including 3D models of cardiac motion. The candidate will work closely with a second post-doctoral researcher in image analysis to develop powerful methods for patient classification and prediction.

We are seeking a talented postdoctoral researcher with a background in modelling time-to-event (survival) data – who has the skills to develop machine learning approaches for outcome prediction.

This post is full-time, fixed term until September 2020.

For technical issues when applying online please email recruitment@imperial.ac.uk

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research


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