Research Data Operations Engineer - Full Time - Hybrid

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).