{"id":2080816,"url":"https://alion.io/job/retinai-research-data-operations-engineer-full-time-hybrid","title":"Research Data Operations Engineer - Full Time - Hybrid","company":{"id":684708,"name":"RetinAI","domain":"retinai.com","url":"https://alion.io/company/retinai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":4,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":92000,"period":"year","method":"role_country_seniority_unknown","sample_n":35},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Rust","optional":false},{"name":"GDPR","optional":true}],"status":"live","first_seen_at":"2026-10-08T10:17:05Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-21T05:36:24Z","board_verified":true,"closed_at":null,"days_open":13,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":13},"description":"About Us\nIkerian 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.\nWe 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.\nJob Description\nWe 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.\nKey Responsibilities\nCreate and support EHR extraction, matching and transformation tools\nSupport data versioning (DVC) running smoothly, and make updating, tracking, and rolling back datasets routine.\nBuild and maintain pipelines and tools to clean, validate, and organize clinical imaging data and EHR excerpts.\nSupport the migration from our custom image format to DICOM.\nMake data annotation fast and painless for researchers.\nSet up and manage access controls so the right people reach the right data.\nKeep data handling aligned with clinical and privacy regulations.\nBuild search and statistics tooling so the team can locate datasets and pull summary stats quickly.\nOwn data integrity across the full data lifecycle.\nRequirements\nUniversity degree in Computer Science or related field. \nA minimum of 3 years of relevant working experience in a similar role and field.\nA minimum of 2 years of experience in the healthcare sector.\nExcellent verbal and written English communication skills.\nStrong analytical and problem-solving abilities.\nAbility to work independently and as part of a team.\nStrong Python skills, Rust ideally, R is a plus.\nSolid data engineering fundamentals: pipelines, file and format handling, validation, versioning.\nA high bar for correctness, reproducibility, and data integrity.\nExperience handling sensitive or regulated data, or the discipline to get up to speed quickly.\nSeveral years building and operating data tooling and infrastructure.\nNice to have\nDICOM or medical imaging experience.\nHands-on experience with DVC or similar data-versioning tools.\nRust in production (deployed in a professional environment).\nExperience in regulated environments (medical, clinical, GDPR/PHI).\nBenefits\nWhat We Offer\nA chance to be part of an exceptional team driving innovation in healthcare.\nA competitive salary in a supportive work environment that fosters work-life balance.\nOpportunities for professional growth and development in an international setting.\nA culture of collaboration and inclusion, which is fundamental to our ethos.\nOccasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.","description_format":"text","description_chars":3208,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Ophthalmology & Eye Clinics","Medical AI"],"lifecycle":[{"event":"open","at":"2026-10-08T10:17:05Z"}],"visa":[],"liveness":{"score":72,"band":"hot","label":"Hiring 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