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Clinician Engineer

Job in Belfast, County Antrim, BT1, Northern Ireland, UK
Listing for: Eolas Medical
Full Time position
Listed on 2025-12-30
Job specializations:
  • Software Development
    AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 110000 GBP Yearly GBP 60000.00 110000.00 YEAR
Job Description & How to Apply Below
Position: Clinician Engineer at Eolas Medical

Salary and Compensation

£60,000 - £110,000 + Stock Options

Location

Belfast, London or Barcelona

Benefits
  • Full Medical Insurance
  • All Equipment Covered
About Eolas

Accessing medical knowledge rapidly and easily at the point of care is still very difficult for healthcare professionals. Eolas Medical is transforming how critical medical knowledge is accessed at the point of care.

We have a vision where every healthcare professional can instantly access the context specific knowledge they need to deliver safe, effective care.

Designed and developed by doctors, the platform aggregates and indexes tens of thousands of items of medical content, enabling rapid and accurate decision-making. It’s currently being used by hundreds of thousands of healthcare professionals globally, over 85% of acute NHS hospitals, 40% of all doctors in Ireland and also used in world leading institutions in the US including Stanford Healthcare, Mass General and Boston Children’s Hospital.

We’re now hiring another Clinical Engineer to work alongside a team of doctors helping build the next generation of AI powered clinical knowledge tools.

This position has a broad scope, accepting applications from all levels of experience, i.e from minimal software development experience to the world’s best clinician turned engineer.

Role:
Clinician Engineer (Clinical + Full Stack Engineering)

This is a rare hybrid role for doctors who are passionate about technology, problem-solving, and building real tools that dramatically improve clinical workflows.

You will bring your clinical understanding into every product decision, while learning (or expanding) real engineering capability. You will help design, build, and ship features used directly by frontline clinicians including our next-generation AI-powered knowledge retrieval tools.

We welcome a broad spectrum of experience:

  • Doctors with strong clinical background and early-stage engineering skills who are eager to learn. You’ll receive close mentorship, structured training, and opportunities to contribute quickly.
  • Highly experienced clinician-engineers capable of contributing as senior full-stack or backend engineers from day one. You’ll directly shape system architecture, product direction, and clinical tooling design.

Your clinical intuition will be just as valuable as your engineering output. This is a role where both skillsets matter equally.

Our Tech Stack

We are a cloud-native, modern, Type Script-first platform. Experience with any of the following is a bonus, you do not need all of them.

Backend & Infrastructure
  • AWS (Lambda, API Gateway, Cognito, S3, Open Search)
  • Node.js / Type Script
  • Python
  • Postgre

    SQL & DynamoDB
  • Serverless architecture & microservices
  • Docker, CI/CD pipelines
  • Cloud security & compliance (HIPAA / GDPR / NHS DTAC)
Frontend
  • React
  • Type Script
  • Tailwind
  • Component-driven development
AI / RAG / Knowledge Pipelines
  • LLM-powered features
  • RAG pipelines (embedding models, chunking strategies, semantic search)
  • Document extraction/processing (PDF parsing, OCR, agentic pipelines)
  • Clinical content ingestion workflows
  • Evaluation frameworks for safe medical AI responses
What You’ll Do
  • Product & Clinical Problem Solving
    • Translate real clinical workflows into intuitive product experiences.
    • Help design features that clinicians will actually use under pressure.
    • Work closely with doctors, engineers, and leadership to shape product direction.
  • Full-Stack or Backend Engineering
    • Build and ship cloud-first features using Type Script/Node.js, React/Next.js, and AWS.
    • Contribute to infrastructure-as-code and deploy serverless services.
    • Help architect systems that scale to hundreds of thousands of clinicians.
  • AI & Clinical Knowledge Retrieval
    • Build RAG workflows that safely surface medical knowledge.
    • Develop clinical document ingestion pipelines that process PDFs, protocols, and policies.
    • Validate AI-generated outputs with clinical context and domain expertise.
  • Quality, Safety & Clinical Integrity
    • Ensure that what we build is clinically safe, defensible, and high-impact.
    • Bring frontline intuition to technical decisions that will affect patient care.
  • Learning & Growth
    • For early-stage engineers:
      Receive structured training in software engineering,…
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