About UsIkerian AG (formerly RetinAI Medical) is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare.We build AI/ML systems on clinical imaging and patient data. As our Research Data Operations Engineer, you'll own the data backbone our researchers depend on: the pipelines, tooling, and governance that keep thousands of patient images, multiple modalities, and EHR excerpts clean, findable, versioned, and compliant.Job DescriptionWe are looking for a Research Data Operations Engineer to join our team. This role sits at the intersection of data engineering, ML infrastructure, and data governance. It's hands-on. You will write the scripts, stand up the infrastructure, and own data integrity end to end.Key Responsibilities- Create and support EHR extraction, matching and transformation tools- Support data versioning (DVC) running smoothly, and make updating, tracking, and rolling back datasets routine.- Build and maintain pipelines and tools to clean, validate, and organize clinical imaging data and EHR excerpts.- Support the migration from our custom image format to DICOM.- Make data annotation fast and painless for researchers.- Set up and manage access controls so the right people reach the right data.- Keep data handling aligned with clinical and privacy regulations.- Build search and statistics tooling so the team can locate datasets and pull summary stats quickly.- Own data integrity across the full data lifecycle.Requirements- Demonstrated entrepreneurial and collaborative mindset- University degree in Computer Science or related field. - A minimum of 3 years of relevant working experience in a similar role and field.- A minimum of 2 years of experience in the healthcare sector.- Excellent verbal and written English communication skills.- Strong analytical and problem-solving abilities.- Ability to work independently and as part of a team.- Strong Python skills, Rust, R is a plus.- Solid data engineering fundamentals: pipelines, file and format handling, validation, versioning.- Experience running data infrastructure on self-managed servers and NAS-backed storage (we're not on the cloud).- A high bar for correctness, reproducibility, and data integrity.- Experience handling sensitive or regulated data, or the discipline to get up to speed quickly.- Several years building and operating data tooling and infrastructure.- Nice to have- DICOM or medical imaging experience.- Hands-on experience with DVC or similar data-versioning tools.- Rust in production (deployed in a professional environment).- Experience in regulated environments (medical, clinical, GDPR/PHI).BenefitsWhat We Offer- A chance to be part of an exceptional team driving innovation in healthcare.- A competitive salary in a supportive work environment that fosters work-life balance.- Opportunities for professional growth and development in an international setting.- A culture of collaboration and inclusion, which is fundamental to our ethos.- Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.

📌 Research Data Operations Engineer - Full Time - Hybrid (Madrid)
🏢 RetinAI Medical
📍 Madrid