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Data Analysis Scientist - Tomography

Diamond Light Source Ltd

  • London & South East England
  • £33,297.00 - £39,172.00
  • Industry, business & consultancy
  • Closing date 22 Apr 2019

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Job ref: 10146

Didcot, Oxfordshire

£33,297 - £39,172 per annum (Discretionary range to £45,048)

Full-time, fixed-term 3 years

Ref: 10146

Join our multidisciplinary team to help scientists interpret petabytes of 3D Xray and Neutron image data in a distributed computing environment.

Your new role

The development of Xray and Neutron imaging techniques is proceeding at a blistering and relentless pace requiring cutting edge and exceptionally resilient technical estate to facilitate transforming Petabytes of raw data into scientifically interpretable results ranging from medical and cellular research, archaeology and engineering. To help drive this innovation forward and help exploit the opportunities of the Ada Lovelace Centre (ALC), we now require a Data Analysis scientist to work on TUX our Tomography User eXperince project, the aim of which is to reduce the barriers to entry for processing the vast quantities of data created at the national facilities Diamond Light Source and ISIS Neutron Source. To achieve these goals you will work with a wide range of scientists and engineers across varying institutes throughout the Rutherford Appleton Laboratories, and potentially beyond, to the main European facilities such as the European Spallation Source.

As part of a team, within the Data Analysis Software Group, of experienced software scientists and engineers you will work with visiting and local scientists to deliver the core data analysis applications required as part of the TUX project. Working in python, java, and HTML/javascript you will develop applications that will integrate with our exiting tools to move us towards a world class user experience for all ALC supported facilities.

Your new team

Working within a close-knit and highly skilled group, you will collaborate, have the opportunity to help and develop other members, and the opportunity to create new projects. Your experience and underlying knowledge will permeate throughout the wider team, leading initiatives and inspiring others.

What you'll need to succeed

Your experience of collecting and transforming requirements, delivering and designing innovative software will lead to your success. You will be proficient in technologies such as Python, Javascript and associated relational databases. You will hold practical experience of the full Software Development Lifecycle and above all, demonstrate a passion to learn and think creatively in the solutions we provide to enable science.

About the Ada Lovelace Centre

The Ada Lovelace Centre (ALC) is an integrated, cross-disciplinary data intensive science centre, for better exploitation of research carried out at our large scale National Facilities including the Diamond Light Source (DLS), the ISIS Neutron and Muon Facility, the Central Laser Facility (CLF) and the Culham Centre for Fusion Energy (CCFE). The Centre has the potential to transform research at the facilities through a multi-disciplinary approach to data processing, computer simulation and data analytics. It will provide computing hardware, build software and provide computational and data analytics expertise that will spark a paradigm shift in the capability of scientists to design, analyse and interpret experiments.

Where appropriate for the role, we will consider flexible working arrangements and secondment opportunities (e.g. for fixed-term contract positions).

Diamond are members of the Employers Network for Equality & Inclusion and we have achieved the Athena SWAN Bronze award and Disability Confident Level One. Women are underrepresented and so we particularly welcome applications from suitably qualified women. If you are disabled and would like to be considered under the Guaranteed Interview Scheme, please let us know via the online application process.

For further information and to apply, please click on the apply button to visit our website.

Interview dates: End of April/Early May

Closing date: 22 April 2019.

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