Neurologist Work, Jobs in Arkley, Gtl (with Salaries)

Research Associate in Translational Neuroimaging
Imperial College London —White City
- £49,017 - £50,893 a year
- Full-time
- Doctoral degree
- University
- Machine learning
1h
Bank Neurophysiologist
Spire Healthcare —Bushey
- Call to connect
- Bachelor's degree
- No degree
- Communication skills
- Annual leave
Headache GPwSI in Neurology
West Hertfordshire Teaching Hospitals NHS Trust —Watford
- £78,699 - £118,759 a year
- Part-time
- Patient care
4d
SCI Rehabilitation Support Worker - Physio eperience preffered
Thompson Holistic Care Services —Purley
- £13 - £16 an hour
- Part-time
- Rehabilitation centre
- In-person
- Care plans
Quick apply
Clinical Nurse Specialist (Complex Epilepsy)
Great Ormond Street Hospital for Children —London
- £58,133 - £65,261 a year
- Full-time
- Microsoft Powerpoint
- Computer literacy
- Bachelor's degree
7d
Band 7 Epilepsy Clinical Nurse Specialist
Royal Free London NHS Foundation Trust —London
- £58,133 - £65,261 a year
- Part-time
- IT
8d
Research Administrator
Great Ormond Street Hospital for Children —London
- £34,186 - £37,389 a year
- Part-time
- Computer literacy
- Administrative experience
- Organisational skills
14d
Director, Neuroscience Medical Affairs
IXICO —London
- Full-time
- Hybrid work
- Doctoral degree
- Travel
- Annual leave
- Employee assistance programme

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neurologist jobs near arkley, gtl

Research Associate in Translational Neuroimaging

Imperial College London -
White City

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Job details

Full-time
£49,017 - £50,893 a year
1 hour ago

Qualifications

MATLAB
Image processing
Doctoral degree
R
Machine learning
Linux
Python

Full job description

Job number

MED05878

Faculties

Faculty of Medicine

Departments

Department of Brain Sciences

Salary or Salary range

£49,017 - £50,893 per annum

Location/campus

White City Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

25 Aug 2026

About the role

Imperial College London is seeking a highly motivated Postdoctoral Research Associate (PDRA) in Translational Neuroimaging to work on the Imperial Neurosciences Quantitative Imaging Platform (INQIP) – an ambitious research initiative that aims to revolutionise the diagnosis of dementia and other neurological conditions through translation of quantitative neuroimaging and machine learning methods applied to clinical data.

This post is funded by the Imperial Health Charity and involves working closely with staff and systems at Imperial College Healthcare NHS Trust.

This is an exciting opportunity to apply computational methods to real-world clinical imaging and patient data, helping bridge the gap between state-of-the-art research and clinical practice.

You will be central to the development of automated pipelines and tools for the pseudonymisation and quantitative analysis (including machine learning) of clinical brain scans and linked patient information. A major focus will be on clinical translation, developing and evaluating clinically relevant tools. This post offers an outstanding opportunity to join a multi-disciplinary team across Imperial College London and Imperial College Healthcare NHS Trust, and the successful candidate will benefit from close collaboration with researchers and clinicians.

This is a unique opportunity to contribute to research that directly impacts patient care and to shape the next generation of neuroimaging tools in the NHS.

What you would be doing

You will design, develop, deploy, and evaluate automated pipelines for the pseudonymisation and quantitative analysis of clinical brain scans (MRI, CT, PET) from Imperial College Healthcare NHS Trust. You will develop automated workflows to analyse individual scans, generate reports, integrate outputs with research PACS, and make them accessible and understandable to clinical teams. You will be expected to collaborate closely with researchers and clinicians across Imperial College London and Imperial College Healthcare NHS Trust. You will also actively participate more broadly in the research programme of the group.

What we are looking for

A PhD (or equivalent) in a relevant discipline such as neuroscience, biomedical engineering, medical physics, computer science, statistics, or a closely related field
Strong experience in clinical neuroimaging analysis, quantitative image processing, or medical image computing
Strong experience in relevant programming languages (e.g., Python, R, MATLAB), software (e.g., FSL), and operating systems (e.g. Linux)
Experience with the XNAT platform
A strong publication record in reputable, international, peer-reviewed journals
Willingness to work as part of a team, to be open-minded and cooperative
Ability to organise your own work with minimal supervision
A creative approach to problem-solving; a “doer”

What we can offer you

An exciting opportunity to contribute to research with real-world clinical impact
Opportunities for close collaboration with leading clinicians and researchers in neuroscience, neuroimaging, and AI
Join a highly multi-disciplinary lab and a world-leading institution
Be part of the Care Research & Technology Centre, part of the UK Dementia Research Institute
Progress your clinical academic career with support from academic neurologist Dr Scott, in a department with an excellent track record of supporting clinical academics, in an institution with dedicated support for clinical fellows.

Further information

This is a full-time post based at our White City Campus. You will be expected to travel to Imperial College Healthcare NHS Trust sites, particularly Charing Cross Hospital, and also potentially to collaborating research sites.

Should you require any further details on the role please contact: Dr Gregory Scott ([email protected])

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at [email protected]. We're here to help.

About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages.

Proud signatory of the Armed Forces Covenant. We welcome applications from the Armed Forces community.

Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

Apply Now

Refine Your Search

neurologist jobs in arkley, gtl

Research Associate in Translational Neuroimaging

Bank Neurophysiologist

Headache GPwSI in Neurology

SCI Rehabilitation Support Worker - Physio eperience preffered

Clinical Nurse Specialist (Complex Epilepsy)

Band 7 Epilepsy Clinical Nurse Specialist

Research Administrator

Director, Neuroscience Medical Affairs