About this role
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
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Create and support EHR extraction, matching and transformation tools
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Support data versioning (DVC) running smoothly, and make updating, tracking, and rolling back datasets routine.
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Build and maintain pipelines and tools to clean, validate, and organize clinical imaging data and EHR excerpts.
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Support the migration from our custom image format to DICOM.
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Make data annotation fast and painless for researchers.
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Set up and manage access controls so the right people reach the right data.
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Keep data handling aligned with clinical and privacy regulations.
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Build search and statistics tooling so the team can locate datasets and pull summary stats quickly.
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Own data integrity across the full data lifecycle.
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Requirements
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University degree in Computer Science or related field.
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A minimum of 3 years of relevant working experience in a similar role and field.
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A minimum of 2 years of experience in the healthcare sector.
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Excellent verbal and written English communication skills.
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Strong analytical and problem-solving abilities.
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Ability to work independently and as part of a team.
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Strong Python skills, Rust ideally, R is a plus.
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Solid data engineering fundamentals: pipelines, file and format handling, validation, versioning.
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A high bar for correctness, reproducibility, and data integrity.
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Experience handling sensitive or regulated data, or the discipline to get up to speed quickly.
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Several years building and operating data tooling and infrastructure.
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Nice to have
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DICOM or medical imaging experience.
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Hands-on experience with DVC or similar data-versioning tools.
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Rust in production (deployed in a professional environment).
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Experience in regulated environments (medical, clinical, GDPR/PHI).
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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.