Clinical Scientist (magnetic resonance physics and computing)

University College London Hospital; Greater London; On-site; GBP 40,000 - 50,000; Full time

Job summary

A leading healthcare provider is seeking a clinical scientist specialist in MRI physics and scientific computing to enhance their neuroradiology service. The role includes developing software pipelines for clinical image analysis and supporting neurosurgical procedures. Ideal candidates will have an MSc and experience in scientific software development, neurosurgical guidance systems, and advanced MRI methods. Opportunities for research and collaboration are also available. This position is based in London and offers a dynamic work environment.

Qualifications

• HCPC-registered Clinical Scientist with significant postgraduate experience.
• Experience in scientific software development and neurosurgical guidance systems.
• Knowledge of advanced MR methods, including fMRI/DTI and neuroimaging research.

Responsibilities

• Collaborate to provide MRI physics and computing support to the MRI service.
• Support the intra-operative MRI service and assist in neurosurgical procedures.
• Translate new image methods from research into clinical practice.
• Maintain and develop image-processing workstations and servers.

Skills

MRI physics support

Scientific computing

Software development

Image analysis

Education

Relevant MSc or higher degree

Job description

Vacancy at University College London Hospitals NHS Foundation Trust

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.

Responsibilities

• Collaborate within our group to provide MRI physics and computing support to the MRI service at the National Hospital for Neurology, optimising, maintaining and developing software code and/or pipelines necessary to support advanced MRI examinations (including clinical fMRI and DTI) and neuroradiology innovation projects, within appropriate quality management frameworks.
• 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, safety support, and imaging systems integration to enable the successful completion of neurosurgical procedures.
• Support 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 support the procurement and deployment of new commercial AI/computationally enabled neuroradiology reporting tools.
• Assist 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.

Qualifications

• Relevant MSc or higher degree and significant postgraduate experience, 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.

For the full Person Specification and more information regarding the main responsibilities of this role, please refer to the attached Job Description.

This advert closes on Thursday 1 Jan 2026.