Research Assistant / Research Associate (Data Scientist/Application Scientist)

Imperial College London - Department of Computing

Job Summary

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 responsibilties

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.

To apply you should have a track record of medical image computing with solid knowledge in handling/processing large and complex datasets; ability to conduct and complete research and development projects; 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. Previous experience with SQL is a plus.

Essential requirements

· 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.

· A proven research record with publications in the relevant areas is also required

· Experience in handling/processing large datasets in batch mode

· Experience in basic statistics, data mining and machine learning

· You must have excellent verbal and written communication skills.

*Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £32,380 to £34,040 per annum.

Further information

Informal inquiries about the post can be directed to Dr. Elsa Angelini e.angelini@imperial.ac.uk .

Documents

· Data Scientist/Application Scientist JD-PS doc

How to apply:

For further details on this opportunity visit our website at the following link. https://www.imperial.ac.uk/jobs and search using vacancy reference number ENG00219. 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 )

Closing date: 23rd May 2018

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