Job overview
We offer an exciting opportunity for a clinical scientist specialist in MRI Physics and Scientific Computing to join our established team supporting the Neuroradiology service at the National Hospital for Neurology and Neurosurgery, Queen Square, London.
We seek someone with enthusiasm for applying advanced imaging and clinical computing methods to benefit our patients, today as they attend our hospital, and in the future through service innovation and patient-focused translational research.
The post-holder will play a lead role at the interface between MRI physics and scientific computing, maintaining, improving and ensuring quality management of software pipelines for clinical image analysis, and supporting computational neuroradiology applications as well as our intra-operative surgical guidance system.
There will be opportunity for research in collaboration with the UCL Queen Square Institute of Neurology, and the UCL Hawkes Institute, translating computational medical imaging innovations into the neuroradiology reporting and treatment-guidance workflow.
With a relevant MSc or higher degree, and significant postgraduate experience, you will be an HCPC-registered Clinical Scientist. Experience in scientific software development, neurosurgical guidance systems, advanced MR methods (fMRI/DTI and/or MRS), including clinical post processing software pipelines, and neuroimaging research is highly desirable.
Main duties of the job
• Collaborating within our group providing MRI physics and computing support to the MRI service at the National Hospital for Neurology, you will be responsible for optimising, maintaining and developing software code and/or pipelines necessary to support advanced MRI examinations (including clinical fMRI and DTI) analysis, and neuroradiology innovation projects, within appropriate quality management frameworks.
• You will join our team providing MRI physics and scientific computing support to the Department’s intra-operative MRI service, including preparation of data for surgical guidance, and when required, an in-theatre presence for scientific support, including safety support, and imaging systems integration, to enable the successful completion of neurosurgical procedures
• Supporting the translation of new image fusion, image registration, advanced image analysis, and accelerated MRI acquisition methods from the research domain into clinical neuroradiology practice to improve diagnosis, treatment monitoring, pre-surgical planning, and service efficiency; and supporting the procurement and deployment of new commercial AI/computationally enabled neuroradiology reporting tools.
• Assisting with the maintenance and development of a small network of image-processing workstations and servers for quantitative image analysis, including system administration, data management, and software engineering activities
Working for our organisation
University College London Hospitals NHS Foundation Trust (UCLH) is one of the most complex NHS trusts in the UK, serving a large and diverse population. We provide academically led acute and specialist services, to people from the local area, from throughout the United Kingdom and overseas. Our vision is to deliver top-quality patient care, excellent education, and world-class research.
We provide first-class acute and specialist services across eight sites:
1. University College Hospital (incorporating the Elizabeth Garrett Anderson Wing)
2. National Hospital for Neurology and Neurosurgery
3. Royal National ENT and Eastman Dental Hospitals
4. University College Hospital Grafton Way Building
5. Royal London Hospital for Integrated Medicine
6. University College Hospital Macmillan Cancer Centre
7. The Hospital for Tropical Diseases
8. University College Hospital at Westmoreland Street
We are dedicated to the diagnosis and treatment of many complex illnesses. UCLH specialises in women’s health and the treatment of cancer, infection, neurological, gastrointestinal and oral disease. It has world class support services including critical care, imaging, nuclear medicine and pathology.
We are committed to sustainability and have pledged to become a carbon net zero health service, embedding sustainable practice throughout UCLH. We have set an ambitious target of net zero for our direct emissions by 2031 and indirect emissions by 2040.