Research Data Ops Engineer (2026)

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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">A fantastic opportunity has become available for a Research DataOps Engineer to join Caristo Diagnostics rapidly growing team, based at our Oxford headquarters.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black; font-weight: bold\">About Caristo Diagnostics</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">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. For more information, visit <a href=\"https://caristo.com/\" target=\"_blank\" rel=\"noopener noreferrer\">caristo.com</a>.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black; font-weight: bold\">About the CaRi-Heart® Technology</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Named first of “7 Technologies That Could Change Heart Healthcare Forevermore” by the <a href=\"https://www.caristo.com/robb-report-british-heart-foundation-funded-the-ai-that-predicts-heart-attacks/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">Robb Report</span></a>, 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. Multiple patents underpinning CaRi-Heart technologies have been granted in major jurisdictions around the world. In addition, exceptional validation results showing CaRi-Heart’s ability to aid the prediction of heart attacks have been published in leading medical journals including the <a href=\"https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(24)00596-8/fulltext\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">Lancet</span></a>, <a href=\"https://reader.elsevier.com/reader/sd/pii/S0735109720356886?token=5322BB67B2BA885DD348C00E448E218F32885CD01B5554C9749B7F49E2CC33B416DA924A13477DF68DA360275A6A391C&amp;originRegion=eu-west-1&amp;originCreation=20230402131442\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">JACC</span></a>, <a href=\"https://pubmed.ncbi.nlm.nih.gov/31504423/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">European Heart</span></a> <a href=\"https://pubmed.ncbi.nlm.nih.gov/31504423/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">Journal</span><span style=\"color: windowtext; text-decoration: none\">,</span></a> and <a href=\"https://pubmed.ncbi.nlm.nih.gov/34450625/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"color: windowtext\">Cardiovascular Research</span></a>. </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">The technology is <a target=\"_blank\" rel=\"noopener noreferrer\">regulatory-approved</a> for commercial use in the UK, Europe and Australia, and is currently being piloted in several NHS sites. The CaRi-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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black\"><span style=\"font-weight: bold\">About The Role</span> </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Overview </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">The ideal candidate will: </span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">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. </span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">share the company values of pushing the boundaries, taking ownership, caring for each other and acting with candour and professionalism. <br><br></span></li>\n</ul>\n<p><span style=\"text-decoration: underline\"><span style=\"font-family: Inter, sans-serif; font-size: 10pt; font-weight: bold\">Responsibilities</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Responsibilities include some or all of the following:  </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Design and build a secure Data Lake House infrastructure to support AI and Data Analytics Research</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Manage Cloud/On-premises compute resources to achieve research objectives</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Contribute to MLOps pipeline for translation of Research Algorithms to Product</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Collaborate with researchers, academic partners, product team, and image analysts</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Manage cohorts of test data according to GDPR and other data privacy regulations</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"text-decoration: underline\"><span style=\"font-weight: bold\"><span style=\"color: black; text-decoration: underline\">Skills &amp; Experience Required</span></span></span><span style=\"color: black\">             </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black\">Essential</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Background in research (academic and/or industry) </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Degree in Physics or Mathematics or related discipline</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience with unstructured and structured data pipelines including large image datasets</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Knowledge of modern data warehousing and data lake technologies</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Linux system administration</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   AWS and GCP administration<br></span><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Experience with GPU cluster and Linux server administration</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black\">Desirable</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   PhD in medical image analysis</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience with AI model training pipelines and architectures (transformers, diffusion models etc) </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience with MLOps methodologies </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience with version control (e.g. GitLab, DVC) </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience with Data Governance in a regulated industry (GDPR, EU AI Act)</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   Experience translating research to product</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black\">The successful candidate will:</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Have a can-do attitude</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Have an understanding of the need to balance fast delivery and quality</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Be comfortable in a fast-paced environment and embrace the challenge of changing requirements</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Excellent communication and collaboration skills</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"font-weight: bold\"><span style=\"color: black\">Benefits:</span><span style=\"color: black\"> </span></span><span style=\"color: black\"><span style=\"font-weight: bold\">  </span>        </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Competitive salary (for Oxford location)</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">25 holidays per year plus bank holidays</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Enhanced pension contribution </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Private medical insurance</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Life insurance</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Cycle-to-work scheme</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Additional benefits for long-service</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><span style=\"color: black\"><span style=\"font-weight: bold\">Why join Caristo:   </span>      </span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Be part of a company at the cutting edge of medical technology, with the potential to save lives and revolutionise healthcare</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Join a dynamic and growing team, with opportunities for personal and professional growth</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Contribute to the development of groundbreaking products in a company poised for significant expansion</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">·   <span style=\"color: black\">Enjoy a supportive and collaborative work environment, with a strong emphasis on innovation, quality, and impact</span></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt; font-weight: bold\">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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\">Applicants should request Caristo’s Candidate Privacy Notice for information as to how we will handle your personal data.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 10pt\"><br></span></p>",
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