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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 dynamic work environment.
- Why this job: Make a real impact in healthcare by transforming complex data into actionable insights.
- Qualifications: Expertise in medical data standards and strong Python skills required.
- Other info: Collaborate with a diverse team in a fast-paced, innovative setting.
The predicted salary is between 36000 - 60000 £ 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical AI field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those related to healthcare. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding medical data standards like DICOM and FHIR. Practising coding challenges can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission. Plus, it gives us a chance to see your enthusiasm right from the start!
We think you need these skills to ace Medical AI Data Engineer (Medical AI start-up) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Medical AI Data Engineer role. Highlight your experience with medical data standards like DICOM and FHIR, and showcase your Python skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about healthcare data engineering and how you can contribute to our mission. Be specific about your experiences and how they relate to the role.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to handle multimodal healthcare data and build robust data pipelines. We love seeing real-world applications of your skills!
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 you’re keen on joining our team at StudySmarter!
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 complexities of healthcare data and can navigate them effectively.
✨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 can really set you apart!
✨Understand the Role's Impact
Be ready to articulate how your work as a Medical AI Data Engineer will influence model performance and research velocity. Showing that you grasp the significance of your role in the bigger picture will impress the interviewers.
✨Collaborate and Communicate
Since this role involves working closely with machine-learning researchers and clinical experts, practice discussing complex topics in a way that's easy to understand. Highlight your teamwork skills and how you can bridge the gap between technical and clinical perspectives.
