This is an exciting opportunity that will suit either a scientist with a flair for computer programming or a developer keen to apply their skills at the cutting edge of imaging informatics in cancer research. You will be working with Big Data and Artificial Intelligence in radiology, on a programme whose overall aims are to apply advanced information- and image-processing techniques to the study of tumour classification and response to treatment. The National Cancer Imaging Translational Accelerator (NCITA) is a £10M Cancer Research UK (CRUK) project that addresses the gaps in translation of imaging biomarkers either as tools for clinical trials or to aid clinical decision making. NCITA brings together seven of the leading cancer imaging centres (Cambridge, Imperial, ICR, KCL, Manchester, Oxford and UCL) through a network of imaging-dedicated cross-institutional infrastructure.
This post is associated with the Data Repository Unit of the NCITA consortium, but also embedded within the Department of Oncology (University of Oxford). As such, the work undertaken will combine software development with the application of the resulting system to real problems of AI in radiology. Image repository developments will play a key role in delivering the NCITA exemplar clinical trials. We are seeking a highly motivated scientist with an interest in coding, or developer with experience in image processing, to take an active role in all aspects of the NCITA image repository.
Your duties will include developing analysis methodologies based around the NCITA image repository to mine image and other multidisciplinary biomedical data, as well as using radiomics and other data processing techniques. You will also be required to write well architected software, extend the XNAT platform used by the NCITA data repository, in particular via “back-end” developments to allow the federation of different XNAT instances, with relevant cohort delivery. You will be educated to degree level in computer science, physics, mathematics, computational biology or closely a related field and have significant exposure to a research environment. You will also require excellent programming skills in both scripting and high-level languages (preferably including Java, C++, Python and MATLAB) as demonstrated by a portfolio of previous work. Familiarity with PET and the image processing requirements of PET data would be advantageous for this role.
This is a full-time role and is fixed-term for 3 years.
All applicants must complete a short application form and upload a CV and supporting statement.
The closing date for applications is 12.00 noon on Monday 2 September 2019.