Clinical Scientist; magnetic resonance physics and computing

Clinical Scientist (magnetic resonance physics and computing)

The closing date is 01 January 2026

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.

• 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.

• Good (1st or 2nd class) Honours degree in a relevant subject
• A relevant postgraduate degree (MSc level or higher, or equivalent experience)
• Health and Care Professions Council registration as a Clinical Scientist
• IPEM Diploma or equivalent specialist qualification in Medical Physics or Clinical Scientific Computing

• Expertise in magnetic resonance physics, including pulse sequences, image acquisition and optimisation, clinical applications, artefacts and MRI safety
• Specialist knowledge of medical image manipulation, medical image formats/standards, analysis methods, and the requisite software tools
• Practical experience of scientific software development
• In depth knowledge of at least one scientific programming language such as C/C++, Python, or Matlab
• Working understanding of relevant statutory guidelines, national standards, or other professional guidelines, including UK MHRA MR safety guidance, medical device regulations and information governance legislation.
• Experience of research techniques

• Able to use Excel, Word, statistical analysis packages, databases etc. to set up documents and extract information
• Well‑developed programming and software…