About Caristo Diagnostics
Caristo Diagnostics is a global leader in AI-powered heart disease detection. A spinout from the University of Oxford, Caristo’s award-winning technology is transforming cardiovascular care by identifying hidden heart attack risks before symptoms appear. Backed by leading hospitals and scientists, Caristo is on a mission to save lives through early detection and personalized prevention.

About the CaRi-Heart® Technology
Named first of “7 Technologies That Could Change Heart Healthcare Forevermore” by the Robb Report, the CaRi-Heart® technology is Caristo’s flagship offering which aids coronary artery disease diagnosis with improved risk prediction. It applies advanced AI algorithms to routine cardiac CT scans to visualize and quantify coronary inflammation, which is the previously invisible root cause of the disease.

About The Role
This is an exciting opportunity for Research DataOps Engineer with a passion for research delivery, to join an Oxford University spin-out and to implement a Data Lake House from the ground up. This role is critical to support the next phase of our medical imaging AI and Analytics research. The role will be onsite building hybrid-cloud/on-premises infrastructure spanning Caristo and Oxford University. This individual will join a fast-paced and talented research team of 8 individuals to support a variety of data and computing needs. The successful candidate will design and build out a data lake house, whilst being expected to actively contribute to on-going data-centric product research.

Responsibilities

• Design and build a secure Data Lake House infrastructure to support AI and Data Analytics Research
• Manage Cloud/On-premises compute resources to achieve research objectives
• Contribute to MLOps pipeline for translation of Research Algorithms to Product
• Collaborate with researchers, academic partners, product team, and image analysts
• Manage cohorts of test data according to GDPR and other data privacy regulations

Skills & Experience Required
Essential

• Background in research (academic and/or industry)
• Degree in Physics or Mathematics or related discipline
• Experience with unstructured and structured data pipelines including large image datasets
• Knowledge of modern data warehousing and data lake technologies
• Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods
• Linux system administration
• AWS and GCP administration
• Experience with GPU cluster and Linux server administration

Desirable

• PhD in medical image analysis
• Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling
• Experience with AI model training pipelines and architectures (transformers, diffusion models etc)
• Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals)
• Experience with MLOps methodologies
• Experience with version control (e.g. GitLab, DVC)
• Experience with Data Governance in a regulated industry (GDPR, EU AI Act)
• Experience translating research to product

Benefits

• Competitive salary (for Oxford location)
• 25 holidays per year plus bank holidays
• Enhanced pension contribution
• Private medical insurance
• Life insurance
• Cycle-to-work scheme
• Additional benefits for long-service

Caristo Diagnostics is committed to diversity and inclusion, and encourages applications from all qualified candidates, including those making a step up in their career.