Ikerian

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 &amp; 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
<ul>
<li>Create and support EHR extraction, matching and transformation tools</li>
<li>Support data versioning (DVC) running smoothly, and make updating, tracking, and rolling back datasets routine</li>
<li>Build and maintain pipelines and tools to clean, validate, and organize clinical imaging data and EHR excerpts</li>
<li>Support the migration from our custom image format to DICOM</li>
<li>Make data annotation fast and painless for researchers</li>
<li>Set up and manage access controls so the right people reach the right data</li>
<li>Keep data handling aligned with clinical and privacy regulations</li>
<li>Build search and statistics tooling so the team can locate datasets and pull summary stats quickly</li>
<li>Own data integrity across the full data lifecycle</li>
</ul>
Requirements
<ul>
<li>University degree in Computer Science or related field.
</li>
<li>A minimum of 3 years of relevant working experience in a similar role and field
</li>
<li>A minimum of 2 years of experience in the healthcare sector
</li>
<li>Excellent verbal and written English communication skills
</li>
<li>Strong analytical and problem-solving abilities
</li>
<li>Ability to work independently and as part of a team
</li>
<li>Strong Python skills, Rust ideally, R is a plus
</li>
<li>Solid data engineering fundamentals: pipelines, file and format handling, validation, versioning
</li>
<li>A high bar for correctness, reproducibility, and data integrity
</li>
<li>Experience handling sensitive or regulated data, or the discipline to get up to speed quickly
</li>
<li>Several years building and operating data tooling and infrastructure
</li>
<li>Nice to have
</li>
<li>DICOM or medical imaging experience
</li>
<li>Hands-on experience with DVC or similar data-versioning tools
</li>
<li>Rust in production (deployed in a professional environment)
</li>
<li>Experience in regulated environments (medical, clinical, GDPR/PHI)
</li>
</ul>
Benefits
What We Offer
<ul>
<li>A chance to be part of an exceptional team driving innovation in healthcare</li>
<li>A competitive salary in a supportive work environment that fosters work-life balance</li>
<li>Opportunities for professional growth and development in an international setting</li>
<li>A culture of collaboration and inclusion, which is fundamental to our ethos</li>
<li>Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture</li>
</ul>

Research Data Operations Engineer - Full Time - Hybrid

Research Data Operations Engineer - Full Time - Hybrid

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