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- Tasks: Join a multidisciplinary team to enhance early detection of liver cancer using AI and imaging.
- Company: Leading research institution focused on innovative medical solutions.
- Benefits: Competitive salary, generous leave, pension scheme, and flexible working options.
- Why this job: Make a real-world impact in healthcare through cutting-edge AI research.
- Qualifications: PhD in relevant field and strong skills in deep learning and Python.
- Other info: Collaborative environment with excellent opportunities for personal and professional growth.
The predicted salary is between 38419 - 44288 £ per year.
We are recruiting a Postdoctoral Research Associate to join a multidisciplinary project focused on early detection of hepatocellular carcinoma recurrence. The project will apply deep learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications.
About You
- PhD (or near completion) in computer science, biomedical engineering, medical imaging, or related field
- Experience in deep learning with practical implementation
- Strong Python skills and relevant frameworks
- Experience with large clinical imaging datasets in secure environments
- Background in medical image analysis (CT/MRI preferred)
- Knowledge of detection, segmentation, and model development methods
- Interest in multimodal or longitudinal clinical data
- Ability to work independently and in multidisciplinary teams
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.
£38,419 to £44,288 per annum (pro rata)
Postdoctoral Research Associate in AI & Medical Imaging in London employer: Uag
Contact Detail:
Uag Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in AI & Medical Imaging in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and medical imaging fields on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream postdoc position.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your deep learning projects and imaging analyses. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common interview questions related to AI and medical imaging, as well as discussing your past research experiences confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Postdoctoral Research Associate in AI & Medical Imaging in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in deep learning and medical imaging, and don’t forget to mention any relevant projects or publications. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and medical imaging, and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Don’t hold back on showcasing your Python skills and experience with clinical imaging datasets. Be specific about the frameworks you’ve used and any challenges you’ve overcome. We’re looking for practical implementation, so let us know what you’ve done!
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. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Uag
✨Know Your Stuff
Make sure you brush up on your deep learning and medical imaging knowledge. Be ready to discuss specific projects you've worked on, especially those involving CT or MRI data. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Your Team Spirit
Since this role involves working with multidisciplinary teams, be prepared to talk about your collaborative experiences. Share examples of how you've successfully worked with clinicians or other researchers, highlighting your ability to communicate complex ideas clearly.
✨Prepare for Technical Questions
Expect some technical questions related to Python and relevant frameworks. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms or model development methods can give you a leg up.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the project’s goals, the team dynamics, or how they measure success in their research. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.