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Clinical Validation Engineer
ScreenPoint Medical. Define and execute clinical performance verification and validation activities using independent datasets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in clinical performance verification and validation, with strong programming skills in Python and Bash. Capable of designing and maintaining automated testing pipelines while ensuring compliance with regulatory requirements in the medical imaging domain.
Highest-signal resume keywords
Clinical Performance VerificationPython ProgrammingData AnalysisRegulatory SubmissionsMedical Imaging Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ValidationAlgorithm Performance MonitoringAutomated TestingStatistical AnalysisDocumentation Skills
Soft Skills
Strong Communication SkillsStructured Working Approach
Tools & Technologies
BashDockerGitSlurmC++
Certifications & Qualifications
Certificate of Conduct (VOG)
Industry Keywords
Quality Management SystemRegulated EnvironmentMedTechFDADEKRA
Tech Stack
Tools & technologiesDockerPythonC++
About the role
Key responsibilities & impact- Define and execute clinical performance verification and validation activities using independent datasets
- Ensure reliable and reproducible evaluation of AI algorithm performance
- Design, implement, and maintain tooling and pipelines for automated and reproducible testing
- Support clinical evaluation, PMCF activities, and regulatory submissions
- Generate, document, and monitor algorithm performance throughout the product lifecycle
- Support post-market activities, including customer feedback analysis
- Contribute to training materials related to algorithm performance
- Collaborate with Innovation, Commercial, Engineering, and Product teams
- Align validation strategies with product development and regulatory requirements
- Improve validation processes for scalability, robustness, and coverage
Requirements
What you’ll need- A Master’s degree in Computer Science, Data Science, or a related field
- Strong programming and analytical skills, with the ability to work with large datasets
- Proven knowledge of Python & Bash
- Experience in data analysis and validation, preferably within medical imaging
- Strong communication skills in English, both written and verbal
- A structured way of working and strong documentation skills
- Providing a Certificate of Conduct (VOG) or background check is part of the application procedure
- Preferred: Experience as a Data Scientist in the medical imaging domain
- Preferred: Familiarity with statistical analysis tools and methodologies
- Preferred: Experience with Docker, git, slurm, C++
- Preferred: Experience working within a Quality Management System
- Preferred: Experience in a regulated environment such as MedTech, including preparation and submission of documentation to regulatory bodies such as the FDA and DEKRA
Benefits
Comp & perks- Career development opportunities
- Work with an ambitious and fast-growing team
- Opportunity to contribute to innovative healthcare solutions improving health worldwide