LocationLocation:
Sutton (Greater London)
DepartmentDepartment:
Radiotherapy and Imaging
Salary Details:Salary Details:
Salary Range: £30,000 - £34,608 per annum
Contract:Contract:
Fixed term
Contract Length:Contract Length:
2 years
External Advertising End Date
09 Oct 2022

Key Information

Salary: Commencement on the salary range is subject to comparable skills and experience. Future progression is based on annual performance review.

Duration of ContractFixed Term for 24 months

Hours per week: 35 hours per week (full-time) but with opportunity to negotiate part-time and/or hybrid working arrangement

Location: Sutton or London. This role is eligible for hybrid working.
 

Closing Date: 9 October 2022

 

Job Details

We are seeking to recruit an enthusiastic scientist/data manager to administer a linked suite of medical imaging databases and develop solutions to data curation issues. Data flows between the NHS and research institutions such as ICR are a key part of modern imaging studies, and this is a vital role where you will be involved in many exciting projects and will be the point of liaison between different scientific and medical teams. 

As Data Manager for our image repository, you will oversee a set of 9 instances of the XNAT imaging database platform (www.xnat.org), together hosting data for over 300 academic projects. You will take day-to-day responsibility for managing access rights to the systems, implementing policies and helping researchers get their data smoothly from clinical scanner to research desktop. You will have a keen interest in information security, working with colleagues to anonymise and safeguard sensitive patient data, developing trust in our processes. You will develop your career and build a network of valuable research contacts throughout the UK and beyond, via our leading role in the NCITA consortium of advanced imaging research institutions.

Key Requirements

The successful candidate should have a degree in a relevant discipline (e.g., computer science, physical sciences, maths, computational biology, radiology, nuclear medicine) with experience of engaging with scientific projects and the ability to understand and discuss them with researchers. Ideally, candidates will have previous knowledge of clinical trials, GCP and information governance (e.g., the concepts involved in GDPR and the UK Data Protection Act).

Good computer skills (including familiarity with MS Office), good communication skills and attention to detail are all essential. Demonstrated programming skills in high-level languages (e.g., Java, Python, C++, JavaScript) and linux shell scripts are highly desirable. Opportunities for training and mentoring to acquire these and, where the successful candidate already has these skills, the position will adapt to make full use of them, via independent coding projects contributing to the development of the XNAT platform.

Department/Directorate Information

The Division of Radiotherapy and Imaging is investigating new imaging methods to diagnose cancer, and ways in which advances in technology and molecular biology can improve radiation treatment. Your colleagues in the MRI team will include world-leading clinical radiologists and specialists in imaging informatics, artificial intelligence, MRI physics and image analysis.  

We encourage all applicants to access the job pack attached for more detailed information regarding this role. For an informal discussion regarding the role, please contact Simon Doran via email at [email protected]


About The Institute of Cancer Research

Why work for us?

As a member of staff, you'll have exclusive access to a range of staff benefits.

The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information.

The Institute of Cancer Research, London, is one of the world's most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. Further information about working at the ICR can be found here.

 

We look forward to receiving applications from all candidates, wherever in the world they are currently based. We will select those who display the potential to become, or to support, the world leading cancer researchers of the future based on their application and performance at interview. However, we particularly welcome British applicants from black and ethnic minority backgrounds, as they are under-represented within the ICR and nationwide in STEM roles.

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