RIS Data Migration Consultant (Remote)

iO Associates - UK/EU
London Borough of Brent
1 year ago
Applications closed

Job Opportunity: RIS Data Migration Specialist

We are recruiting on behalf of a leading Radiology AI-powered HealthTech company that is revolutionising medical imaging and diagnostics. This innovative organisation is dedicated to improving patient outcomes through cutting-edge artificial intelligence solutions.

If you're a talented in Data Migration with a passion for advancing healthcare technology, we want to hear from you.

Key Responsibilities

Data Migration Planning:

Develop and manage data migration strategies for RIS systems.

Map existing data structures and create tailored migration pathways.

Collaborate with stakeholders to gather and document requirements.

Data Extraction and Transformation:

Extract, clean, and transform data from legacy systems using ETL tools.

Ensure data accuracy and integrity throughout the process.

Data Loading and Validation:

Load transformed data into the target system and validate for completeness.

Identify and resolve data discrepancies, ensuring post-migration accuracy.

Collaboration and Communication:

Work with cross-functional teams to meet clinical and operational needs.

Provide regular progress updates to stakeholders.

Regulatory Compliance and Security:

Ensure compliance with HIPAA, GDPR, and other data protection standards.

Implement security measures to protect sensitive data.

Troubleshooting and Support:

Resolve migration issues and ensure system compatibility.

Offer post-migration support to ensure smooth adoption.

Documentation and Training:

Document migration processes and provide training for staff on the new system.

Interested? Please apply or send a copy of your CV to james.burchill @ioassociates.co.uk (no space).

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.