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Data Analyst
Premium Job From University of Manchester
Recruiter: University of Manchester
Listed on: 7th October
Location: Harwell, Oxfordshire
Salary/Rate: £27,511 - £31,865
Salary Notes: according to experience plus £3,000 market supplement
Type: Permanent
Start Date: ASAP
Reference: S&E-14579
Contact Name: Martin Wilding

The Faculty of Science and Engineering wishes to appoint a suitably qualified and highly motivated individual as a Data Analyst. The post is permanent and will be located at the Harwell Science and Innovation Campus in Oxfordshire within the University of Manchester at Harwell operation. You will be involved with experiments at Diamond Light Source National Synchrotron Facility, the Central Laser Facility and the ISIS Neutron and Muon Source, a world-leading centre for research. The main purpose of the role is to lead in the development of data analysis and visualisation methods. You will take responsibility for the analysis of 3D X-Ray and neutron source imaging data sets and will be one of the technical authorities for data analysis and will be expected to assist and train the academic users.

You will take responsibility within defined areas of research, under the general supervision of a member of the academic or research staff. You will be responsible for the transfer, management and analysis of X-ray imaging data including the routine analysis of imaging data sets for the extraction and statistical analyses of the results. It is expected that you will also be responsible for training doctoral and postdoctoral students in data analysis. Since The University of Manchester at Harwell is a broad multidisciplinary organisation, you will work closely with researchers in order to achieve the aims and objectives of individual projects.

You will hold a first degree (or equivalent) in mathematical, computational or physical science related discipline, and will have experience in X-Ray image analysis, quantitative scientific data analysis, computer vision and image analysis and informatics and scientific algorithm/methods design and statistical evaluation. You should have experience of multi-disciplinary collaboration and a proven ability to use initiative to efficiently plan, optimise, progress project and communicate findings. You will demonstrate extensive IT skills (including experience of working in Avizo). You will have strong awareness of Safety, Health and Environment issues in an engineering setting. You will be equally adept working individually or as part of a team, self-motivated and proactive with the ability to apply your initiative. You will have good all round communication skills, be able to discuss technical and nontechnical issues and be able to keep written records using Microsoft Office. You will need to be able to work flexibly to match the varied time demands of the role and be prepared to work outside of normal working hours to support beamtime experiments when necessary.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

To apply, please click on the apply button to visit our website.

Closing date: 29 October 2019.

 The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.



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