Retinai
Retinai
Retinai एक स्वास्थ्य सेवा AI और डेटा प्रबंधन कंपनी है, जो जीवन विज्ञान संगठनों, क्लीनिकों और शोधकर्ताओं को जटिल चिकित्सा डेटा को उपयोगी अंतर्दृष्टि में बदलने में मदद करती है। इसका Discovery प्लेटफ़ॉर्म वास्तविक दुनिया के साक्ष्य, सटीक चिकित्सा, नैदानिक अनुसंधान और नेत्रविज्ञान, न्यूरोडीजेनेरेटिव, संवहनी तथा दुर्लभ रोग कार्यक्रमों में सहयोग का समर्थन करता है। Retinai AI-सहायता प्राप्त डेटा विश्लेषण, नैदानिक परीक्षण प्रक्रियाओं, रोगी प्रबंधन और सुरक्षित क्लाउड-आधारित डेटा साझा करने के लिए उपकरण प्रदान करती है, जिसमें अनुसंधान और देखभाल टीमों के समर्थन के लिए डिज़ाइन किए गए CE-चिह्नित मॉडल भी शामिल हैं।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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.

लाभ

  • 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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