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- Tasks: Build and manage data infrastructure for next-gen Medical AI models.
- Company: Exciting medical AI start-up at the forefront of healthcare innovation.
- Benefits: Competitive salary, equity grant, and a vibrant office in Central London.
- Why this job: Make a real impact on healthcare by transforming complex data into powerful AI solutions.
- Qualifications: Expertise in medical data standards and strong Python skills required.
- Other info: Join a dynamic team and enjoy significant ownership and autonomy in your work.
The predicted salary is between 43200 - 72000 £ per year.
We’re looking for a Medical AI Data Engineer to build and own the data infrastructure behind next-generation Large Medical Models. This role sits at the intersection of healthcare data engineering and frontier AI research, working closely with machine-learning researchers and clinical experts to transform complex, real-world medical data into high-quality, ML-ready datasets at scale.
You’ll design and implement robust pipelines for multimodal healthcare data, including medical imaging, genomics, clinical text, structured EHR data, and bio signals. The role requires deep expertise in medical data standards including DICOM, FHIR, OMOP, and genomic formats, strong Python-based data engineering skills, and a meticulous approach to data quality, validation, and regulatory considerations.
This is a hands-on, high-impact position offering significant ownership and autonomy, where your work directly influences model performance and research velocity. Based in the London office, you’ll collaborate daily with a multidisciplinary team in a fast-paced, intellectually rigorous environment focused on building reliable, high-quality AI for healthcare.
Medical AI Data Engineer (Medical AI start-up) in London employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical AI Data Engineer (Medical AI start-up) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to healthcare. We recommend including any work with DICOM, FHIR, or Python to really catch their eye.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of medical data standards and AI applications in healthcare. We suggest practising common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Medical AI Data Engineer (Medical AI start-up) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with medical data standards like DICOM and FHIR. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about healthcare data engineering and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Since this role requires strong Python-based data engineering skills, make sure to mention any relevant programming languages or tools you’ve used. If you’ve worked on multimodal healthcare data, give us the details – we’re all ears!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Vertex Search
✨Know Your Data Standards
Make sure you brush up on medical data standards like DICOM, FHIR, and OMOP. Being able to discuss these in detail will show that you understand the nuances of the role and can hit the ground running.
✨Showcase Your Python Skills
Prepare to demonstrate your Python-based data engineering skills. Have examples ready that highlight your experience with building data pipelines and handling multimodal healthcare data. Practical demonstrations or code snippets can really impress!
✨Understand the Impact of Your Work
Be ready to discuss how your work as a Medical AI Data Engineer can influence model performance and research velocity. Showing that you grasp the bigger picture will resonate well with the interviewers.
✨Collaborate and Communicate
Since this role involves working closely with machine-learning researchers and clinical experts, be prepared to talk about your collaboration experiences. Highlight how you’ve effectively communicated complex data concepts to non-technical stakeholders.
