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Open nowPosted 7 hours ago

Research Data Operations Engineer - Full Time - Hybrid

Workable (global search)107,892 open roles

Where
Madrid, Community of Madrid, Spain
Work mode
Hybrid
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Your applicationOpen nowResearch Data Operations Engineer - Full Time - HybridWorkable (global search) · Madrid, Community of Madrid, Spain

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8.1% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 3 days.

Share of postings closed within
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  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 7 hours ago

Workable (global search) median: 3 days open

The posting

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

  • Demonstrated entrepreneurial and collaborative mindset
  • 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, R is a plus.
  • Solid data engineering fundamentals: pipelines, file and format handling, validation, versioning.
  • Experience running data infrastructure on self-managed servers and NAS-backed storage (we're not on the cloud).
  • 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.
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