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Position: Research Associate in Data Science and Machine Learning
Institution: Imperial College London
Location: London, United Kingdom
Duties: To undertake research focussed on the goals of the BHF program; To take initiatives in the planning of research and pro-actively engage with collaborators; To conduct rigorously reproducible science and use appropriate data science tools; To collaborate with other allied scientists within Imperial College and elsewhere in London and abroad, as appropriate; To contribute to the smooth running of the Group’s/Unit’s laboratories and, facilities with other scientists, clinicians, technicians and students within the laboratories; To assist in the supervision of undergraduate and postgraduate research students and research assistants as required
Requirements: A PhD in Mathematics, Data Science, or a closely related discipline; Background in statistics, mathematics and machine learning; Excellent programming skills in one relevant language (e.g. R, C++ or Python)
   
Text: Research Associate in Data Science and Machine Learning Apply now Save this job Job summary Applications are invited for an up to 3-year postdoctoral research position within the Computational Cardiac Imaging Group, led by Prof Declan O’Regan. We are looking for a data scientist with experience in developing new methods for analysing high-dimensional clinical data. This post is part of a 5-year BHF program using machine learning and innovative data science to understand the causes and outcomes of heart disease through analysis of... Job listing information Reference MED03230 Date posted 15 June 2022 Closing date 10 July 2022 Key information about the role Location Hammersmith Campus (map) Position type Full time, fixed term Salary £41,593 plus benefits Department Institute of Clinical Sciences Category Researcher / Clinical Researcher Job description Job summary Applications are invited for an up to 3-year postdoctoral research position within the Computational Cardiac Imaging Group, led by Prof Declan O’Regan. We are looking for a data scientist with experience in developing new methods for analysing high-dimensional clinical data. This post is part of a 5-year BHF program using machine learning and innovative data science to understand the causes and outcomes of heart disease through analysis of cardiac motion combined with genetics and other clinical data. We are designing systems that analyze large scale imaging data, including cardiac MRIs in UK Biobank, and convert this to machine readable form for classification and prediction tasks. This includes recent work on outcome prediction (Bello et al, Nature Machine Intelligence , 2019), discovering mechanisms of cardiac development (Meyer et al, Nature 2020), and finding potential new therapies for heart failure (Thanaj et al, Nature Cardiovascular Research , 2022). Duties and responsibilities To undertake research focussed on the goals of the BHF program To take initiatives in the planning of research and pro-actively engage with collaborators To conduct rigorously reproducible science and use appropriate data science tools To collaborate with other allied scientists within Imperial College and elsewhere in London and abroad, as appropriate. To contribute to the smooth running of the Group’s/Unit’s laboratories and, facilities with other scientists, clinicians, technicians and students within the laboratories. To assist in the supervision of undergraduate and postgraduate research students and research assistants as required. Essential requirements A PhD in Mathematics, Data Science, or a closely related discipline Background in statistics, mathematics and machine learning Excellent programming skills in one relevant language (e.g. R, C++ or Python) Further information This is a Full time and Fixed Term role until August 2025. Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,694 - £39,888 per annum. Should you require any further details on the role please contact - Prof O’Regan ( declan.oregan@lms.mrc.ac.uk ) 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 https://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 which are ultimately aimed towards finding new treatments and making scientific and medical advances, and where there are no satisfactory or reasonably practical alternatives to their use. 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. Find out more about animal research at Imperial . Documents Final JD - Research Associate - GS.docx About Imperial College London Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world. You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City. We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces. It’s our mission to achieve enduring excellence in all that we do for the benefit of society - and we are looking for the most talented people to help us get there. Additional information Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Imperial College is committed to equality of opportunity and to eliminating discrimination. All employees are expected to follow the Imperial Values & Behaviours framework . Our values are: Respect Collaboration Excellence Integrity Innovation In addition to the above, employees are required to observe and comply with all College policies and regulations. We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion. For technical issues when applying online please email support.jobs@imperial.ac.uk .
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