MRI Research Fellow — Inherited Neuropathies & AI Analysis in London

MRI Research Fellow — Inherited Neuropathies & AI Analysis in London

London Trainee 30000 - 40000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Join a cutting-edge research team to optimise MRI protocols and analyse inherited neuropathies using AI.
  • Company: Reilly research group at CNMD, pioneering advancements in medical imaging and genetic research.
  • Benefits: Comprehensive training, potential for PhD enrolment, and a three-year funded fellowship.
  • Other info: Flexible start date and opportunities for international applicants with visa sponsorship.
  • Why this job: Make a real impact in the field of inherited neuropathies while collaborating with top professionals.
  • Qualifications: Must be a registered Medical Practitioner with knowledge of clinical governance and patient care.

The predicted salary is between 30000 - 40000 £ per year.

We are now recruiting a Clinical Research Fellow to join the Reilly research group in the CNMD. The Reilly group has developed a quantitative calf muscle Fat Fraction MRI protocol, the most responsive outcome measure (OM) in multiple forms of Charcot Marie Tooth disease. Technology advances using artificial intelligence in sequence acquisition and analysis mean we can now develop our protocol to be more accurate, reliable, sensitive and faster. This study will aim to optimise our MRI OM using these technological advances, set up six other CMT trial-ready centres across the UK, and investigate the UK CMT landscape.

Responsibilities

  • You will support this study while working closely with our physicists, trial coordinators, data managers, geneticists, bioinformaticians, and clinicians.
  • As part of the role, you will receive comprehensive training in all aspects of neuropathies, including clinical evaluation, clinical outcome measures, MRI fat-fraction analysis, and genetic analysis.
  • You will assist in recruiting and clinically evaluating patients for the MRI studies at UCL, as well as be trained to use the AI programme for assessing fat-fraction results from MRI scans.
  • In addition, you will help coordinate with the six other UK centres to collate and manage the data collected across all sites.
  • You will also help study the genetic architecture of CMT in the UK.
  • As the main investigator into the study on the frequency and types of CMT in the UK, you will liaise with PIs and trial coordinators in the other six UK sites.

This post is suitable for a trainee who wishes to develop expertise in neuropathies, especially inherited neuropathies. There may also be the option to enrol for a PhD focused on MRI, genetics, or both aspects of the study.

An Honorary Clinical contract will be sought from UCLH NHS Trust, for which a DBS check will be required. The post is available from 01 August 2026 (this start date is flexible) and is funded by Muscular Dystrophy UK for three years in the first instance, although we would also be happy to consider trainees looking for a one- or two-year clinical research fellowship in neuropathy.

About you

At the time this post commences, you must be a registered Medical Practitioner licensed to practise in the UK with good knowledge of confidentiality/GDPR, Good Clinical Practice, the NHS clinical governance framework, and clinical audit experience. You’ll have the ability to provide clinical supervision, communicate effectively and compassionately with patients from a diverse range of backgrounds and with diverse clinical and social needs, and demonstrate enthusiasm and ability to “go the extra mile” for patients and clinical care. Experience of having worked in the NHS and in clinical neurology, completion of CMT/IMT training and MRCP, and excellent presentation skills are desirable.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

MRI Research Fellow — Inherited Neuropathies & AI Analysis in London employer: UCL School of Life & Medical Sciences

As a Clinical Research Fellow in the Reilly research group at CNMD, you will be part of a pioneering team dedicated to advancing the understanding and treatment of inherited neuropathies. Our collaborative work culture fosters innovation and professional growth, offering comprehensive training in cutting-edge MRI techniques and AI analysis, while also providing opportunities for further academic pursuits such as a PhD. Located at UCL, you will benefit from a vibrant academic environment and the chance to make a meaningful impact on patient care across multiple UK centres.

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Contact Details:

UCL School of Life & Medical Sciences Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land MRI Research Fellow — Inherited Neuropathies & AI Analysis in London

Network Like a Pro

Get out there and connect with folks in the field! Attend conferences, workshops, or even local meet-ups related to MRI research and neuropathies. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.

Show Off Your Skills

When you get the chance to chat with potential employers, make sure to highlight your relevant skills and experiences. Talk about any hands-on work you've done with MRI protocols or AI analysis. We want to see you shine!

Follow Up

After interviews or networking events, don’t forget to follow up with a quick thank-you email. It shows your enthusiasm and keeps you on their radar. We believe a little gratitude goes a long way!

Apply Through Our Website

If you’re keen on this role, make sure to apply through our website. It’s the best way to ensure your application gets seen by the right people. We’re excited to see what you bring to the table!

We think you need these skills to ace MRI Research Fellow — Inherited Neuropathies & AI Analysis in London

MRI Fat Fraction Analysis
Artificial Intelligence in Medical Imaging
Clinical Evaluation
Clinical Outcome Measures
Genetic Analysis
Data Management
Collaboration with Multidisciplinary Teams

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the MRI Research Fellow role. Highlight any relevant experience in clinical research, especially in neuropathies or MRI analysis. We want to see how your background aligns with our needs!

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about this role and how you can contribute to our research group. Be specific about your skills and experiences that relate to inherited neuropathies and AI analysis.

Showcase Your Communication Skills:Since you'll be working closely with various professionals, it's crucial to demonstrate your communication skills. Use clear and concise language in your application to show us you can effectively liaise with team members and patients alike.

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!

How to prepare for a job interview at UCL School of Life & Medical Sciences

Know Your Stuff

Make sure you brush up on the latest advancements in MRI technology and AI analysis. Familiarise yourself with the quantitative calf muscle Fat Fraction MRI protocol and how it applies to Charcot Marie Tooth disease. This will show your genuine interest and understanding of the role.

Showcase Your Team Spirit

Since this role involves working closely with various professionals like physicists, geneticists, and clinicians, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated effectively in past roles, especially in clinical settings.

Prepare for Clinical Scenarios

Expect questions that assess your clinical judgement and ability to handle diverse patient needs. Think about scenarios where you had to communicate complex information compassionately or manage a challenging situation with a patient.

Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready. Inquire about the future direction of the research group or how they envision the integration of AI in their studies. This shows your enthusiasm and forward-thinking mindset.