About Us Ikerian 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.
About Us Ikerian 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 Description We 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 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 ideally, R is a plus
Solid data engineering fundamentals: pipelines, file and format handling, validation, versioning
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)
Benefits What 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
#J-18808-Ljbffr

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