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- Tasks: Refine Azure architecture and guide NHS system integration for an AI radiology platform.
- Company: Join a pioneering team transforming healthcare with innovative AI solutions.
- Benefits: Flexible remote work, 28 days paid holiday, and wellness support.
- Why this job: Make a real impact on NHS radiology workflows and patient safety.
- Qualifications: Experience with Azure, NHS systems, and healthcare interoperability standards.
- Other info: Collaborative environment with opportunities for long-term engagement.
The predicted salary is between 36000 - 60000 £ per year.
We’re building RadAssist AI — an assistive AI platform designed to help NHS radiology teams reduce imaging backlogs, prevent missed follow-ups, and improve patient safety — without disrupting existing workflows.
Built on Microsoft Azure, RadAssist AI is a non-diagnostic workflow automation tool that integrates with existing hospital systems (PACS, RIS, and EPR) to:
- 🔍 Automatically flag and track follow-up cases
- 🩺 Summarise radiology reports into GP-friendly notes
- 📊 Provide managers with real-time dashboards on backlog reduction and turnaround time
Our mission is simple but ambitious: empower NHS radiology teams to do more with less — safely, efficiently, and intelligently.
We are now preparing for a presentation with NHS Innovation Manchester, and we’re looking for a highly skilled Technical HealthTech Advisor to help us refine the technical story, strengthen our architecture, and confidently represent the project in front of stakeholders.
Your Role
As Technical HealthTech Advisor, you will:
- Refine the Azure architecture – review, optimise, and document our current design for scalability, compliance, and interoperability.
- Guide integration strategy – ensure seamless connection with existing NHS systems (PACS/RIS/EPR) using HL7/FHIR APIs.
- Advise on data handling & compliance – ensure GDPR, NHS Digital, and security best practices are met.
- Support during presentations – act as a technical voice during NHS meetings, answering questions and explaining deployment strategy clearly and confidently.
- Contribute to pilot planning – advise on approaches to using synthetic and real-world datasets for validation.
This is a strategic and visible role — your expertise will help shape how we communicate RadAssist AI’s value to NHS stakeholders and potential partners.
Skills & Experience Required
✅ Technical Expertise
- Proven experience designing and deploying solutions on Microsoft Azure (App Services, Service Bus, Azure Functions, Logic Apps, Synapse, API Management, etc.)
- Strong understanding of FHIR, HL7, and healthcare interoperability standards
- Experience with PACS/RIS/EPR system integration in NHS or similar healthcare environments
- Familiarity with Azure AI services and NLP models for healthcare
✅ Healthcare Knowledge
- Understanding of NHS workflows, regulatory requirements, and Digital Standards
- Awareness of GDPR, data governance, and clinical safety principles
- Previous work on AI, digital health, or EMR/EHR systems is highly desirable
✅ Soft Skills & Communication
- Ability to translate complex technical concepts into clear, non-technical explanations
- Confident presenting to stakeholders and answering technical questions live
- Collaborative mindset — able to work closely with founders, advisors, and NHS partners
What We Offer
- The chance to work on a high-impact healthcare AI solution with NHS potential
- Visibility in front of NHS Innovation teams and opportunity for long-term collaboration
- Exposure to cutting-edge AI, healthcare, and digital transformation projects
- 28 days paid holiday (pro-rata) for the contract term
- Gym membership or wellness support stipend to keep you at your best
- Flexible, remote-friendly collaboration (4–8 weeks) with room to extend as the project grows.
How to Apply
If you’re passionate about transforming healthcare through technology and have the experience to help shape RadAssist AI’s technical direction, we’d love to hear from you.
Please include in your application:
- A short message about your experience with Azure and NHS systems
- Any relevant projects or presentations you’ve led
- Your availability and expected hourly or fixed rate
💙 Join us in reimagining how radiology workflows are delivered across the NHS. Together, we can build smarter, safer, and more connected healthcare.
Technical HealthTech Advisor (Azure + NHS Integration) – AI Radiology Platform employer: RadAssist AI
Contact Detail:
RadAssist AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical HealthTech Advisor (Azure + NHS Integration) – AI Radiology Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare and tech sectors. Attend relevant events or webinars where you can meet potential employers or collaborators. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or a presentation that highlights your experience with Azure and NHS systems. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by rehearsing answers to common questions related to technical health tech roles. Get a friend to quiz you or even record yourself to see how you come across.
✨Tip Number 4
Apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in healthcare. Don’t hesitate to submit your application directly to us — we’d love to hear from you!
We think you need these skills to ace Technical HealthTech Advisor (Azure + NHS Integration) – AI Radiology Platform
Some tips for your application 🫡
Show Off Your Azure Skills: Make sure to highlight your experience with Microsoft Azure in your application. We want to see how you've designed and deployed solutions, so don’t hold back on the details!
NHS Knowledge is Key: Since we’re working closely with NHS systems, it’s super important to demonstrate your understanding of NHS workflows and regulatory requirements. Share any relevant experiences that showcase your healthcare knowledge.
Keep It Clear and Concise: When writing your application, remember to keep your language clear and straightforward. We love technical expertise, but we also need to know you can explain complex concepts in a way that everyone can understand.
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 this exciting opportunity to shape RadAssist AI.
How to prepare for a job interview at RadAssist AI
✨Know Your Azure Inside Out
Make sure you’re well-versed in Microsoft Azure services relevant to the role. Brush up on App Services, Service Bus, and API Management. Be ready to discuss how you've used these tools in past projects, especially in healthcare settings.
✨Understand NHS Workflows
Familiarise yourself with NHS workflows and regulatory requirements. Knowing how PACS, RIS, and EPR systems operate will help you answer questions confidently. It’s all about showing that you can integrate seamlessly into their existing processes.
✨Prepare for Technical Questions
Expect to explain complex concepts like FHIR and HL7 in simple terms. Practice translating technical jargon into layman's terms, as this will be crucial when presenting to stakeholders who may not have a technical background.
✨Showcase Your Presentation Skills
Since you'll be acting as a technical voice during presentations, practice your delivery. Use clear visuals and be prepared to engage with your audience. Confidence is key, so rehearse answering potential questions they might throw your way.