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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.
- Other info: Collaborative environment with opportunities for long-term engagement.
- Why this job: Make a real impact on NHS radiology workflows and patient safety.
- Qualifications: Experience with Azure, NHS systems, and healthcare interoperability standards.
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 industry 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 personal website showcasing your projects, especially those related to Azure and NHS systems. This gives you a platform to demonstrate your expertise and makes you stand out.
✨Tip Number 3
Prepare for interviews by practising common questions related to technical health tech roles. Be ready to explain complex concepts in simple terms, just like you would when presenting to NHS stakeholders. Confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission to transform healthcare with technology.
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 regulations. Share any relevant experiences that showcase your familiarity with these aspects.
Keep It Clear and Concise: When writing your application, remember to keep your language clear and straightforward. We appreciate technical expertise, but we also want to see how well you can explain complex concepts in a way that everyone can understand.
Apply Through Our Website: Don’t forget 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.
How to prepare for a job interview at RadAssist AI
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Be ready to discuss specific services like App Services, Service Bus, and Azure Functions, and how they can be applied in a healthcare context. This will show that you’re not just familiar with the platform but can also leverage it effectively for NHS integration.
✨Understand NHS Workflows and Standards
Familiarise yourself with NHS workflows, regulatory requirements, and digital standards. Being able to speak confidently about FHIR, HL7, and how they relate to PACS/RIS/EPR systems will demonstrate your expertise and understanding of the environment you'll be working in.
✨Prepare for Technical Questions
Expect to answer technical questions during the interview, especially around data handling, compliance, and security best practices. Practise explaining complex concepts in simple 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 supporting presentations to NHS stakeholders, prepare to showcase your presentation skills. Think of examples where you've successfully communicated technical information to non-technical audiences. This will highlight your ability to act as a technical voice and build confidence in your communication style.