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Position: Data Scientist/Application Scientist
Institution: Imperial College London
Location: London, United Kingdom
Duties: The successful candidate will be expected to exploit and contribute to the integration of high-throughput imaging data analysis methods, and to deploy advanced statistical analyses or machine-learning methods to discover associations between imaging features relevant to pathology and phenotypic data. The post holder will work closely with expert collaborators and clinicians to understand their needs and research questions
Requirements: Proven track record of biomedical imaging data management and analysis. Solid knowledge in handling/processing large and complex datasets in batch mode. Experience in basic statistics, data mining and machine learning. You must have excellent verbal and written communication skills
   
Text: Research Assistant / Research Associate (Data Scientist/Application Scientist) Apply now Save this job Job summary Fixed term for 24 months. We have an exciting opportunity for a Research Assistant/Associate to work on a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science, the Imperial NIHR Brain Sciences Theme - Division of Brain Sciences and the Institute for Translational Medicine and Therapeutics (ITMAT) Data Science Group https://www.imperial.ac.uk/itmat-data-science-group to develop a... Job listing information Reference ENG00219 Date posted 1 August 2018 Closing date 2 September 2018 Key information about the role Location South Kensington Campus (map) Position type Full time, fixed term Salary £33,380 - £45,547 plus benefits Department Faculty of Engineering Category Researcher / Non Clinical Researcher Job description Job summary Fixed term for 24 months. We have an exciting opportunity for a Research Assistant/Associate to work on a joint initiative at Imperial College between the Data Science Institute (DSI) https://www.imperial.ac.uk/data-science , the Imperial NIHR Brain Sciences Theme - Division of Brain Sciences and the Institute for Translational Medicine and Therapeutics (ITMAT) Data Science Group https://www.imperial.ac.uk/itmat-data-science-group to develop a “Big Data” translational platform for data curation, quality control and standardized analysis of complex imaging and phenotypic data. Intended initially to rapidly enable more efficient exploitation of the UK Biobank ( http://www.ukbiobank.ac.uk ) dataset hosted at Imperial College, the platform is intended also to support emerging “real-time”, anonymized hospital administrative, laboratory and imaging data for research in the longer term. The initial focus will be on diseases of the brain, particularly including late-life dementias. Duties and responsibilities The successful candidate will be expected to exploit and contribute to the integration of high-throughput imaging data analysis methods, and to deploy advanced statistical analyses or machine-learning methods to discover associations between imaging features relevant to pathology and phenotypic data. The post holder will work closely with expert collaborators and clinicians to understand their needs and research questions. Essential requirements To apply you must have: Proven track record of biomedical imaging data management and analysis Solid knowledge in handling/processing large and complex datasets in batch mode Experience in basic statistics, data mining and machine learning You must have excellent verbal and written communication skills Working knowledge of specialized toolkits and libraries (e.g. in R, Matlab, Python) and generic coding languages (e.g. Java, Perl, C/C ); basic shell scripting in UNIX and experience with SQL are all desirable. To apply as a Research Associate you must have a PhD (or equivalent) in computer science, engineering, informatics or biomedical and/or biostatistics discipline. At Research Assistant level a good first degree (or equivalent) or Masters (or equivalent) in a related area. Further information This is a full time fixed term contract for 24 months. Informal inquiries about the post can be directed to Dr. Elsa Angelini e.angelini@imperial.ac.uk How to apply: In addition to completing the online application, candidates should attach: A full CV, including publications, experience and achievements A 2-page research statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant For queries regarding the application process contact Fay Miller ( f.miller@imperial.ac.uk ) Documents BRCResearch AssistantAssociateNewJD.doc 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. All Imperial employees are expected to follow the 7 principles of Imperial Expectations: Champion a positive approach to change and opportunity Communicate regularly and effectively within, and across, teams Consider the thoughts and expectations of others Deliver positive outcomes Encourage inclusive participation and eliminate discrimination Develop and grow skills and expertise Work in a planned and managed way In addition to the above, employees are required to observe and comply with all College policies and regulations . Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.
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