Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Cardiac and multiorgan image data analyst

University of Oxford
Oxford
1 year ago
Applications closed

Related Jobs

View all jobs

Statistician / Data Scientist (Healthcare)

RDM Division of Cardiovascular Medicine, John Radcliffe Hospital, Oxford, OX3 9DU The University of Oxford is looking for a highly motivated and skilled Postdoctoral Research Assistant to join our team. The successful candidate will work on integrating and analysing large, multidimensional imaging datasets, particularly focusing on MRI data from the heart and other organs (brain, heart, liver and kidney) to advance clinical guidelines. The candidate will be involved in image analysis and the application of AI in automating some of the analysis and in interpreting the data and in developing automated pipelines for image analysis of multiorgan datasets. This project aims to harness machine learning techniques to combine and analyse complex imaging and clinical datasets to advance our understanding of cardiac and extracardiac conditions. The researcher will be involved in collaborative decision making. Oxford is world-famous for research excellence and home to some of the most talented people from across the globe. Our work helps the lives of millions, solving real-world problems through a huge network of partnerships and collaborations. The breadth and interdisciplinary nature of our research sparks imaginative and inventive insights and solutions. You will have a Masters or Ph.D. in a relevant field such as Computer Science, Biomedical Engineering, Medical Imaging, or a related discipline, background in coding (R or python), machine learning, with a focus on medical imaging and technical ability (knowledge and experience). For the right individual, this varied and stimulating role offers the opportunity to contribute directly to our world-leading position, and the impact of our researchers on the world. Application Process

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.