# Research Data Operations Engineer - Full Time - Hybrid

**Company:** [RetinAI Medical](https://jobs.workable.com/companies/cG783xuCBPwG4S5xWvdzvG.md)
**Location:** Madrid, Spain
**Workplace:** hybrid
**Employment type:** Full-time
**Department:** Research

[Apply for this job](https://jobs.workable.com/view/e93aefd6-53ed-42e0-9271-4ef1307c228f)

## Description

**About Us**

[Ikerian AG (formerly RetinAI Medical)](http://www.retinai.com) 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.