Clinical Scientist (magnetic resonance physics and computing)

NHS; Greater London; On-site; GBP 64,000 - 72,000; Full time

Job summary

A leading healthcare provider in London is seeking a Clinical Scientist specializing in MRI Physics and Scientific Computing. This role offers an exciting opportunity to blend advanced imaging techniques with patient care and contribute to innovative translational research. The candidate should possess significant postgraduate experience and be proficient in scientific software development, MRI methods, and data management. The position is full-time, permanent, and offers a competitive salary of £64,156 to £71,148 per year.

Qualifications

• Minimum MSc in MRI or equivalent experience.
• Strong knowledge of MRI physics and imaging analysis.
• Registration with the Health and Care Professions Council.

Responsibilities

• Optimize and maintain software for MRI examinations.
• Provide scientific computing support in the operating theatre.
• Translate advanced methods into clinical practice.

Skills

Expertise in magnetic resonance physics

Programming in C/C++, Python, or Matlab

Scientific software development

Medical image manipulation

Clinical applications and MR safety

Education

Good (1st or 2nd class) Honours degree in a relevant subject

A relevant postgraduate degree (MSc level or higher)

HCPC registration as a Clinical Scientist

IPEM Diploma or equivalent in Medical Physics

Tools

Excel

Statistical analysis packages

Linux environment

Windows operating systems

Job description

Clinical Scientist (magnetic resonance physics and computing)

The closing date is 19 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.

Main duties of the job

• Collaborate within our group providing MRI physics and computing support to the MRI service at the National Hospital for Neurology, responsible for optimising, maintaining and developing software code or pipelines necessary to support advanced MRI examinations (including clinical fMRI and DTI) analysis, and neuroradiology innovation projects, within appropriate quality management frameworks.
• Provide 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.
• 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.

About us

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:

• University College Hospital (incorporating the Elizabeth Garrett Anderson Wing)
• National Hospital for Neurology and Neurosurgery
• Royal National ENT and Eastman Dental Hospitals
• University College Hospital Grafton Way Building
• Royal London Hospital for Integrated Medicine
• University College Hospital Macmillan Cancer Centre
• The Hospital for Tropical Diseases
• 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.

Job responsibilities

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

The Lysholm Department of Neuroradiology provides leading‑edge neuroradiological services within the National Hospital for Neurology and Neurosurgery, performing around 60,000 examinations and procedures per year, including CT, MRI, neuro‑angiography and neuro‑interventions, and ultrasound.

Our MRI facilities include a Siemens Vida (x3), and Skyra 3T systems, and a 1.5T Aera; scientific computing facilities include a local Linux network and access to centrally supported servers.

Come and be a part of the best NHS trust in England to work for, according to our staff

*UCLH top trust to work at in England- In the most recent NHS staff survey UCLH had the highest percentage of staff who said they would recommend us as a place to work, out of all general acute or acute/community NHS trusts in England for the third year in a row.

UCLH recognises the benefits of flexible working for staff. To find out more, visit: Flexible working.

To discover more about what makes UCLH a great place to work, visit: Why Choose UCLH?

Qualifications

• 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

Knowledge & Experience

• 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

Computing

• Able to use Excel, Word, statistical analysis packages, databases etc. to set up documents and extract information
• Well‑developed programming and software development skills
• Ability to work with Unix/Linux and Windows operating systems, including command line and scripting operation

Mental

• Able to concentrate when subject to frequent unpredictable working patterns.
• Able to concentrate for prolonged periods

Emotional

• Able to deal with complex and unpredictable situations

Communication

• Able to communicate complex information at postgraduate level to other professional groups
• Able to present scientific papers at national and international conferences
• Able to deliver teaching and training on complex subjects at university level

Personal and People Development

• Able to train other professional staff individually or in groups
• Able to supervise trainees or students

Responsibilities towards promoting Equality Diversity and Inclusion

• Understanding of Equality, Diversity, and Inclusion initiatives, and/or Knowledge of the NHS obligations under the Equality Act 2010 and the Public Sector Equality Duties

Ensure the risk of infection to self, colleagues, patients, relatives and visitors is minimised

• Personal commitment to: become familiar with, and adhere to Trust policies and guidance on infection prevention and control; complete all required training and education (both via e‑learning and face to face) on infection prevention and control; include infection prevention and control as an integral part of your continuous personal/professional development and included in your annual appraisal; take personal responsibility so far as is reasonably practicable, in helping ensure that effective prevention and control of health care associated infections is embedded into everyday practice and applied consistently.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

University College London Hospitals NHS Foundation Trust

Address

National Hospital for Neurology & Neurosurgery, UCLH

Salary

£64,156 to £71,148 a year per annum inclusive of HCAS

Contract

Permanent

Working pattern

Full‑time

Reference number

309-UCLH-7218

Job locations

National Hospital for Neurology & Neurosurgery, UCLH