At a Glance
- Tasks: Manage secure data transfers and improve operational efficiency using Python.
- Company: Join Caristo Diagnostics, a leader in AI for cardiovascular health.
- Benefits: Enjoy competitive salary, 25 holidays, private medical insurance, and more.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make a real impact on healthcare and save lives with innovative technology.
- Qualifications: Degree in relevant field and strong Python skills required.
The predicted salary is between 30000 - 40000 £ per year.
A fantastic opportunity has become available for a Data Management Analyst to join Caristo Diagnostics rapidly growing team.
Based in Oxford, you will work in our global data operations team with colleagues in both US and UK.
About Caristo Diagnostics
Caristo Diagnostics is a global leader in AI technologies for cardiovascular disease, founded as a spin‑out from the University of Oxford.
Its award‑winning technology helps detect hidden heart disease and identify people at risk of a heart attack before symptoms appear.
Working with leading hospitals, research institutions, and pharmaceutical partners, Caristo aims to save lives through early detection and personalized prevention.
The company was named a 2026 Technology Pioneer by the World Economic Forum in June 2026.
Learn more at or follow Caristo on Linked In, You Tube, and X.
About the Ca Ri-Heart Technology
Named first of “7 Technologies That Could Change Heart Healthcare Forevermore” by the Robb Report, the Ca Ri-Heart technology is Caristo’s flagship offering which uncovers hidden coronary inflammation, a key driver of cardiovascular disease, on routine Coronary Computed Tomography Angiography (CCTA).
The technology is regulatory‑approved for commercial use in Europe and Australia, and is currently being piloted in several NHS sites.
The Ca Ri-Heart Technology is also a receipt of the NHS AI award, and has been recognised by the British Heart Foundation as a game‑changing innovation for preventing cardiovascular disease.
Multiple patents underpinning Ca Ri-Heart technologies have been granted in major jurisdictions around the world.
In addition, exceptional validation results showing Ca Ri-Heart’s ability to aid the prediction of heart attacks have been published in leading medical journals including the Lancet, JACC, European Heart Journal, and Cardiovascular Research.
About the Role
Overview
Analysis of data is at the core of Caristo's business and we do this using Saa S methodology.
Caristo is looking for a Data Management Analyst to oversee the data flow to and from our customers and collaborators.
You will be responsible for the management and flow of data in a timely and secure manner, ensuring that information flow complies with security and confidentiality laws and Standards.
You will also be responsible for identifying and implementing opportunities for improving the efficiency of data management and flow.
- Ideal candidate will
- be motivated at the thought of working in an innovative healthcare start‑up with a strong collaborative research and operations culture, helping to build a global business that will have material impact on the health and wellbeing of potentially millions of people.
- share the company values of pushing the boundaries, taking ownership, caring for each other and acting with candour and professionalism.
- Department: Operations, Reporting to Head of Data Operations and IT
Responsibilities
- Manage secure data transfers between internal systems, customers, collaborators, and third‑party suppliers.
- Configure and support secure access to data in line with operational, security, and compliance requirements.
- Investigate and resolve data transfer and access issues, providing timely updates to internal and external stakeholders.
- Develop and maintain Python scripts and automation to improve operational efficiency and support bulk data transfers.
- Validate data to ensure it is accurate, complete, and fit for operational use.
- Produce and maintain operational documentation and technical procedures.
- Identify opportunities to improve processes, data quality, and service reliability.
Skills & Experience Required
Essential
- Degree in Computer Science, Information Systems, Data Science, Engineering, or equivalent practical experience.
- Strong Python skills for automation, scripting, and data processing.
- Knowledge of databases and modern information systems.
- Experience using Microsoft Office applications, particularly Excel.
- Understanding of data security principles and handling confidential information.
Desirable
- Experience with DICOM and medical imaging workflows.
- Experience in healthcare, clinical research, or other regulated environments.
- Knowledge of cloud platforms (AWS, Azure, or Google Cloud).
- Familiarity with healthcare data standards (FHIR or HL7).
- Understanding of data governance and data quality principles.
Essential Soft Skills
- Excellent analytical and problem‑solving skills
- Strong attention to detail.
- Excellent organisational and prioritisation skills.
- Strong written and verbal communication skills.
- Ability to explain technical concepts clearly to non‑technical audiences.
- Collaborative, adaptable, and customer‑focused.
Benefits
- Competitive salary
- 25 holidays per year plus bank holidays
- Enhanced pension contribution
- Private medical insurance
- Life insurance
- Cycle‑to‑work scheme
- Additional benefits for long‑service
- Why join Caristo
- Be part of a company at the cutting edge of medical technology, with the potential to save lives and revolutionise healthcare
- Join a dynamic and growing team, with opportunities for personal and professional growth
- Contribute to the development of groundbreaking products in a company poised for significant expansion
- Enjoy a supportive and collaborative work environment, with a strong emphasis on innovation, quality, and impact
Caristo Diagnostics is committed to diversity and inclusion, and encourages applications from all qualified candidates, including those making a step up in their career.
If you are passionate about making a difference in the world of medical imaging and meet the above criteria, we would love to hear from you.
Applicants should request our Candidate Privacy Notice for information as to how we will handle your personal data.
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Data Operations Analyst in Oxford employer: Caristo Diagnostics Ltd.
Caristo Diagnostics is an exceptional employer, offering a unique opportunity to work at the forefront of medical technology in Oxford. With a strong focus on innovation and collaboration, employees benefit from a supportive work culture that prioritises personal and professional growth, alongside competitive salaries and comprehensive benefits. Joining Caristo means contributing to life-saving advancements in healthcare while being part of a dynamic team dedicated to making a meaningful impact.
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We think you need these skills to ace Data Operations Analyst in Oxford
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Caristo Diagnostics Ltd.!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
