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. - 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). 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.

Research Data Operations Engineer - Full Time - Hybrid

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