MRI Research Fellow — Inherited Neuropathies & AI Analysis

MRI Research Fellow — Inherited Neuropathies & AI Analysis

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: Be part of the Reilly research group at CNMD, leading in innovative medical research.
  • Benefits: Gain comprehensive training, potential for a PhD, and work with top professionals in the field.
  • Other info: Flexible start date, funded for three years, with opportunities for international applicants.
  • Why this job: Make a real difference in patient care and contribute to groundbreaking research in neuropathies.
  • Qualifications: Must be a registered Medical Practitioner with clinical experience and strong communication skills.

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 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 supportive work culture fosters collaboration with leading experts in the field, providing you with comprehensive training and opportunities for professional growth, including the potential to pursue a PhD. Located at UCL, you will benefit from access to cutting-edge technology and resources, making this an exceptional environment for meaningful and impactful research.

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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

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 inherited 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 your knowledge of AI in MRI analysis or any clinical experience you have. 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 the attention it deserves. 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

Clinical Evaluation
MRI Fat-Fraction Analysis
Artificial Intelligence in Medical Imaging
Data Management
Genetic Analysis
Communication Skills
Clinical Supervision

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the MRI Research Fellow role. Highlight relevant experience in clinical neurology, research, and any specific skills related to MRI and AI analysis. We want to see how your background fits with our needs!

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about inherited neuropathies and how you can contribute to our research group. Be genuine and let your enthusiasm shine through – we love to see candidates who are excited about the work we do!

Showcase Your Communication Skills:Since you'll be working closely with various professionals and patients, it's crucial to demonstrate your communication skills. Use examples from your past experiences to show how you've effectively communicated in diverse settings.

Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!

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 specific protocols used in inherited neuropathies, especially 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 and geneticists, be prepared to discuss your teamwork experiences. Share examples of how you've collaborated effectively in past roles, highlighting your communication skills and ability to adapt to different team dynamics.

Prepare for Clinical Scenarios

Expect questions that assess your clinical judgement and patient interaction skills. Think about scenarios where you had to provide compassionate care or make critical decisions. Practising these responses can help you convey your clinical experience confidently.

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 for the role and your forward-thinking mindset.