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- Tasks: Advance Generative AI technologies for medical imaging with a top research team.
- Company: Leading medical technology company in Greater London.
- Benefits: Access to proprietary datasets and opportunities for impactful innovations.
- Why this job: Make a real difference in healthcare through cutting-edge AI research.
- Qualifications: PhD and expertise in generative AI methods required.
- Other info: Collaborative environment with a focus on high-quality academic research.
The predicted salary is between 43200 - 72000 £ per year.
A leading medical technology company in Greater London is seeking a Collaborating Research Scientist to advance Generative AI technologies for Coronary Computed Tomography Angiography. The successful candidate will work with a world-class research team at Imperial College, focusing on high-quality academic research and product-grade models.
A PhD and expertise in generative AI methods are required. The role offers unique access to proprietary datasets and is a chance to contribute to impactful medical innovations.
Collaborating Generative AI Scientist, Medical Imaging employer: HeartFlow, Inc.
Contact Detail:
HeartFlow, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Collaborating Generative AI Scientist, Medical Imaging
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical imaging and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for generative AI.
✨Tip Number 2
Prepare for those interviews! Brush up on your knowledge of Coronary Computed Tomography Angiography and be ready to discuss how your PhD work relates to the role. We want to see your expertise shine through!
✨Tip Number 3
Showcase your projects! If you've worked on any generative AI models or related research, make sure to have a portfolio ready. This is your chance to demonstrate your skills and creativity to potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Collaborating Generative AI Scientist, Medical Imaging
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience with generative AI methods. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your interest in Coronary Computed Tomography Angiography and how you can contribute to our world-class research team at Imperial College.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in medical innovations!
How to prepare for a job interview at HeartFlow, Inc.
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest generative AI methods, especially those relevant to medical imaging. Be prepared to discuss your previous research and how it can apply to Coronary Computed Tomography Angiography.
✨Familiarise Yourself with the Company
Research the leading medical technology company and its recent innovations. Understanding their mission and values will help you align your answers with what they’re looking for in a candidate.
✨Prepare for Technical Questions
Expect to face technical questions that assess your expertise in generative AI. Practise explaining complex concepts clearly and concisely, as you may need to communicate these ideas to non-experts.
✨Showcase Your Collaborative Spirit
Since this role involves working with a world-class research team, be ready to share examples of past collaborations. Highlight how you’ve contributed to team projects and how you handle feedback and differing opinions.
