Clinical Research Fellow (Neuroradiology)

NHS; London; On-site; GBP 61,000 - 72,000; Full time

Job summary

A leading NHS trust is seeking a Clinical Research Fellow in Neuroradiology for a 12-month fixed-term contract. The role combines clinical duties with significant research into brain tumor diagnostics, leveraging machine learning to improve patient outcomes. Successful candidates are expected to have relevant qualifications and experience in neurology and radiology.

Qualifications

• Completion of FRCR (or equivalent) required.
• Good inter-personal skills for multidisciplinary work.
• Interest in research and commitment to high-quality research.

Responsibilities

• Develop and refine mathematical models for tumor classifications.
• Evaluate utility and efficiency for service improvements.
• Support diagnostic neuroradiology workload.

Skills

General machine learning experience

Communication

Competency in reporting cross-sectional CT/MR examinations

Skills in diagnostic neuroradiology

Education

FRCR

Full GMC registration

Post CCT

Tools

Pandas

SciPy

FSL

SPM

Nibabel

Nilearn

Seaborn

Matplotlib

Job description

Go back University College London Hospitals NHS Foundation Trust

Clinical Research Fellow (Neuroradiology)

The closing date is 03 July 2025

Applications are invited for a full time Clinical Research Fellow in Neuroradiology: 50% research at UCL Queen Square Institute of Neurology and 50% clinical in The Lysholm Department of Neuroradiology at The National Hospital for Neurology and Neurosurgery, UCLH NHS Foundation Trust for a 12 month period from 1st January 2024, although there may be scope to extend the position.

We are looking for a talented and motivated individual to join our friendly multidisciplinary team. The applicant will gain research experience in application of mathematical models to improve diagnosis of brain tumours at UCL Institute of Neurology and will support the diagnostic neuroradiology workload in one of London's premiere Teaching Hospital Trusts. This post would suit a post-FRCR or post-CCT radiologist, with some prior research experience, who wishes to gain a further dedicated period of experience in diagnostic neuroradiology at a recognised Neuroscience Centre.

Main duties of the job

The successful candidate will undertake a research project to improve early diagnosis of gliomas using a combined methylation array profile and MRI deep learning model. Specifically, the candidate will undertake:

o Development and refinement of mathematical models for methylation classification of gliomas and meningiomas.o Evaluation of utility, efficiency, equity for all patients as service evaluation.o Development of prototype hospital systems for neuro-oncology to enhance patient care, improve survival prediction, and assist clinical decision making.

Candidates must hold full GMC registration have obtained their FRCR 2B qualification. Essential qualifications for this post include some dedicated experience in neuroradiology, preferably at a recognised centre. The post is offered on a whole-time basis. Applications for a part-time appointment will be considered.

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.

This vacancy may close before the current listed closing date. You are advised not to delay submitting your completed application.

Job description

Job responsibilities

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

This vacancy may close before the current listed closing date. You are advised not to delay submitting your completed application.

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 for the second year running! : University College London Hospitals NHS Foundation Trust

*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 second year in a row.

UCLH top trust to work at in England for the second year running! University College London Hospitals NHS Foundation Trust.

Once again, UCLH has received the highest score of all general acute and acute/community NHS trusts in England for staff that would recommend us as a place to work.

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

Person Specification

Knowledge, experience & Qualifications

• General machine learning experience.
• Good inter-personal skills with an ability to work co-operatively in a multidisciplinary setting.
• Resourceful and able to act on own initiative.
• Interested in research and a commitment to supporting high quality research.
• Completion of FRCR (or equivalent)
• GMC registration (in progress and full registration - by the time of appointment)
• Post CCT

Skills and abilities

• Knowledge of complex modelling within neuroscience, neuroimaging, or healthcare.
• Excellent oral and written communication skills.
• Competency in reporting cross-sectional CT/MR examinations
• Competency in performing ultrasound
• Excellent oral and written communication skills.
• Knowledge of software development cycles and practices
• Experience of translating science and engineering into real-world solutions
• Experience with common neuroimaging and statistical analysis software packages (e.g. Pandas, SciPy, FSL, SPM, Nibabel, Nilearn, Seaborn, Matplotlib).

Clinical Skills

• Skills in diagnostic neuroradiology.

Communication

• Communicate effectively and compassionately with patients and staff from a diverse range of backgrounds and with diverse clinical and social needs.
• Excellent written and oral communicating with colleagues within a multidisciplinary ethos.

Personal and People Development

• Takes responsibility for own personal development plan

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

£61,825 a yearPer Annum + London weighting (out of hours as per JD)

Contract

Fixed term

Duration

12 months

Working pattern

Full-time

Reference number

309-UCLH-5955-A

Job locations

National Hospital for Neurology & Neurosurgery, UCLH