Research Data Operations Engineer - Full Time - Hybrid
At a glance
Mid-level Data Architecture & Governance role at RetinAI Medical. Madrid · full-time · no salary stated · we estimate €43,194–€57,900 across Spain.
RetinAI Medical has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build tools that extract, match and transform EHR data, and support routine dataset versioning and rollback
- Create pipelines to clean, validate and organize clinical images and EHR excerpts, including the move to DICOM
- Make research annotations easier, control data access and keep handling aligned with clinical and privacy rules
- Develop ways to find datasets and retrieve summary statistics, while safeguarding integrity throughout the data lifecycle
What you bring
- A computer science degree or a related qualification, plus at least three years in a comparable role
- At least two years working in healthcare and strong Python skills
- Solid data engineering experience with pipelines, file formats, validation and version control
- Strong written and spoken English, with experience handling sensitive data or the ability to learn regulated-data practices
Who this fits
This suits a hands-on engineer who can work independently and alongside others, with a focus on correctness and reproducibility. The role is based on-site in Madrid, with occasional travel to the company’s Swiss headquarters.
From the employer
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
- 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).
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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