{"id":4019774,"url":"https://alion.io/job/screenpoint-medical-clinical-validation-engineer","title":"Clinical Validation Engineer","company":{"id":4394580,"name":"ScreenPoint Medical","domain":"screenpoint-medical.com","url":"https://alion.io/company/screenpoint-medical","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"BambooHR","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":["Nijmegen, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Verification & Validation","optional":false},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"Machine Learning","optional":true},{"name":"SLURM","optional":true}],"status":"live","first_seen_at":"2026-11-10T14:36:29Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T14:36:29Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"In the fight against breast cancer, every medical image is an opportunity: to unlock insight, to uncover risk, to embody health, to empower life. ScreenPoint’s Transpara Breast AI delivers unmatched precision for breast radiologists and helps define personalized care pathways for every woman we serve. Make your mark as part of The Breast AI Company.\nWe are looking for a Clinical Validation Engineer to strengthen our QA team and play a key role in validating the clinical performance of our AI algorithms. In this role, you will be responsible for designing, executing, and maintaining clinical verification and validation activities, ensuring our products meet the highest standards of quality, safety, and regulatory compliance.\nYou will work closely with Innovation, Engineering, Product Management, and Commercial teams to translate algorithm performance into robust clinical evidence, supporting both pre-market certification and post-market monitoring. This role combines technical depth, analytical thinking, and cross-functional collaboration in a highly regulated MedTech environment.\nYour responsibilities:\nClinical validation and verification: Define and execute clinical performance verification and validation activities using independent datasets, ensuring reliable and reproducible evaluation of algorithm performance.\nTooling and automation: Design, implement, and maintain tooling and pipelines for automated and reproducible testing, supporting clinical evaluation, PMCF activities, and regulatory submissions.\nPerformance monitoring and post-market support: Generate, document, and monitor algorithm performance throughout the product lifecycle. You support post-market activities, including customer feedback analysis and contributing to training materials related to algorithm performance.\nCross-functional collaboration: Work closely with Innovation, Commercial, Engineering, and Product teams to align validation strategies with product development and regulatory requirements.\nContinuous improvement: Contribute to improving validation processes in terms of scalability, robustness, and coverage, ensuring efficient and future-proof ways of working.\nJob requirements\nYou are a technically strong and detail-oriented professional who enjoys working with data and translating analysis into meaningful clinical insights. You are comfortable working in a cross-functional environment and contributing to structured processes within a quality-driven organization. Furthermore, you have:\nA Master’s degree in Computer Science, Data Science, or a related field\nStrong programming and analytical skills, with the ability to work with large datasets\nProven knowledge of Python & Bash\nExperience in data analysis and validation, preferably within medical imaging\nStrong communication skills in English, both written and verbal\nA structured way of working and strong documentation skills\nPreferred qualifications\nExperience as a Data Scientist in the medical imaging domain\nFamiliarity with statistical analysis tools and methodologies\nExperience with Docker, git, slurm, C++\nExperience working within a Quality Management System\nExperience in a regulated environment such as MedTech, including preparation and submission of documentation to regulatory bodies such as the FDA and DEKRA\nAbout us\nScreenPoint Medical is a leading company that develops and markets breast image analysis and cutting-edge machine learning applications and services. Our product Transpara improves breast cancer survival rates by detecting cancers earlier so that treatment can be more effective and less invasive.\nDo you want to help us build an innovative solution to improve health worldwide? And do you want to be part of an ambitious and fast-growing team who help you develop your career further? Please apply using the application button.\nProviding a Certificate of Conduct (VOG) or background check is part of our application procedure. Questions about the contents of the vacancy or the recruitment process at ScreenPoint Medical? Please send an email to . Please note that applications submitted via this email address will not be reviewed. 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