Retinai
Retinai
Retinai — өмір туралы ғылымдар саласындағы ұйымдарға, клиникалар мен зерттеушілерге күрделі медициналық деректерді нақты әрекетке негіз болатын құнды ақпаратқа айналдыруға көмектесетін денсаулық сақтау саласындағы жасанды интеллект және деректерді басқару компаниясы. Оның Discovery платформасы офтальмология, нейродегенеративті, тамырлық және сирек кездесетін аурулар бағдарламаларында нақты клиникалық тәжірибеге негізделген дәлелдерді жинауға, дәл медицинаға, клиникалық зерттеулерге және бірлескен жұмысқа қолдау көрсетеді. Retinai жасанды интеллект көмегімен деректерді талдауға, клиникалық сынақ үдерістерін басқаруға, пациенттерді бақылауға және бұлтта деректерді қауіпсіз бөлісуге арналған құралдарды ұсынады. Олардың қатарында зерттеу және медициналық көмек көрсету топтарына қолдау көрсетуге арналған CE белгісі бар модельдер де бар.

Research Data Operations Engineer — Retinai, Madrid Hybrid

Manage data pipelines, governance, and integrity for Retinai’s healthcare AI and clinical imaging systems. The role covers EHR tooling, DVC dataset versioning, DICOM migration, and regulated data access.

Сипаттама

  • Develop and maintain tools for extracting, matching, and transforming EHR data.
  • Manage dataset updates, tracking, and rollbacks with DVC.
  • Build pipelines and tooling to clean, validate, and organize clinical imaging data and EHR excerpts.
  • Help migrate data from a custom image format to DICOM.
  • Improve the speed and usability of research data annotation.
  • Configure and administer access controls for appropriate data access.
  • Ensure data practices comply with clinical and privacy regulations.
  • Develop search and statistical tools for locating datasets and retrieving summary statistics efficiently.
  • Maintain data integrity throughout the complete data lifecycle.
  • Create scripts, establish infrastructure, and take end-to-end ownership of data integrity.

Талаптар

  • University degree in Computer Science or a related discipline.
  • At least three years of relevant experience in a comparable role and field.
  • At least two years of professional experience in healthcare.
  • Excellent spoken and written English communication skills.
  • Strong analytical thinking and problem-solving skills.
  • Comfort working independently and collaboratively within a team.
  • Strong Python proficiency; Rust is preferred, and R is an advantage.
  • Solid data engineering knowledge covering pipelines, file and format handling, validation, and versioning.
  • High standards for correctness, reproducibility, and data integrity.
  • Experience working with sensitive or regulated data, or the ability to learn these practices quickly.
  • Several years of experience building and operating data tools and infrastructure.
  • DICOM or medical imaging experience is desirable.
  • Practical experience with DVC or comparable data-versioning tools is desirable.
  • Professional production experience with Rust is desirable.
  • Experience in regulated medical, clinical, GDPR, or PHI environments is desirable.

Артықшылықтар

  • Join a team focused on advancing healthcare innovation.
  • Receive a competitive salary in a supportive environment designed to encourage work-life balance.
  • Pursue professional growth and development in an international workplace.
  • Work in a collaborative and inclusive culture that is central to the company’s values.
  • Travel occasionally to the headquarters in Switzerland to engage with core operations and company culture.

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