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Senior Lead Engineer, Imaging Algorithm Development - RDT Biometrics and Clinical Evidence(m/w/x)
Leading end-to-end algorithm lifecycle for medical imaging technology, ensuring GxP and SaMD compliance. Expertise in multiple programming paradigms and languages required. Automation and quality standards promotion, with a focus on scalable analytical platform capabilities.
Anforderungen
- Previous experience with medical imaging technology, preferably multiple modalities
- Experience defining tasks, coaching engineers, and driving initiatives
- Contribution to technical strategy and participation in knowledge-sharing
- Expertise in multiple programming paradigms and languages
- Leading design for multi-service solutions and evaluating system patterns
- Proficiency building/supporting AI/ML models applications, cloud solutions, CI/CD pipelines
- Experience implementing reusable Infrastructure as Code (IaC) modules
- Designing observability for interconnected services, improving monitoring, solving cross-service issues
- Developing advanced testing strategies, championing automation, implementing security best practices, threat modeling
- Exceptional leadership and mentorship skills, promoting code quality and architectural consistency
- Strong communication and negotiation skills, building partnerships
- Practical experience with regulatory and quality teams, aligning with Roche QMS
Aufgaben
- Lead end-to-end algorithm lifecycle
- Ensure GxP, SaMD, and Imaging Governance compliance
- Drive imaging algorithm ecosystem strategy
- Deliver scalable analytical platform capabilities
- Promote automation and quality standards
- Define tasks for other engineers
- Coach and lead engineering teams
- Excel in stakeholder negotiations
- Provide direction for mid to long-term goals
- Contribute to technical knowledge
- Inspire innovation
- Lead design of complex solutions
- Promote architectural consistency
- Drive technical strategy for major components
- Mentor senior engineers
- Engage with scientific, regulatory, clinical, and informatics partners
- Align on strategy, prioritization, and execution
- Strengthen collaboration and visibility
- Define and execute product strategy and roadmap
- Enhance data quality, accessibility, and reusability
- Act as primary product owner for imaging applications
- Translate business requirements into technical solutions
- Manage stakeholder relationships and external collaborations
- Oversee lifecycle of imaging data analysis applications
- Ensure timely product enhancements and workflow standardization
- Collaborate with engineering, quality, and regulatory teams
- Drive alignment across R&D, Diagnostics, and Data Science
- Manage dependencies, risks, and milestones
- Communicate progress through KPIs and reports
- Increase scalability, automation, and efficiency
- Monitor industry and technology trends
- Guide product innovation
- Implement common deployment format
- Reduce conversion costs
- Enhance inference speed
- Foster continuous improvement and collaboration
- Promote AI-driven automation
- Accelerate algorithm validation and documentation
- Reduce manual effort
- Manage priorities and release planning
- Engage stakeholders across technical and scientific domains
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- Infrastructure as Code (IaC)
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Senior Lead Engineer, Imaging Algorithm Development - RDT Biometrics and Clinical Evidence(m/w/x)
Leading end-to-end algorithm lifecycle for medical imaging technology, ensuring GxP and SaMD compliance. Expertise in multiple programming paradigms and languages required. Automation and quality standards promotion, with a focus on scalable analytical platform capabilities.
Anforderungen
- Previous experience with medical imaging technology, preferably multiple modalities
- Experience defining tasks, coaching engineers, and driving initiatives
- Contribution to technical strategy and participation in knowledge-sharing
- Expertise in multiple programming paradigms and languages
- Leading design for multi-service solutions and evaluating system patterns
- Proficiency building/supporting AI/ML models applications, cloud solutions, CI/CD pipelines
- Experience implementing reusable Infrastructure as Code (IaC) modules
- Designing observability for interconnected services, improving monitoring, solving cross-service issues
- Developing advanced testing strategies, championing automation, implementing security best practices, threat modeling
- Exceptional leadership and mentorship skills, promoting code quality and architectural consistency
- Strong communication and negotiation skills, building partnerships
- Practical experience with regulatory and quality teams, aligning with Roche QMS
Aufgaben
- Lead end-to-end algorithm lifecycle
- Ensure GxP, SaMD, and Imaging Governance compliance
- Drive imaging algorithm ecosystem strategy
- Deliver scalable analytical platform capabilities
- Promote automation and quality standards
- Define tasks for other engineers
- Coach and lead engineering teams
- Excel in stakeholder negotiations
- Provide direction for mid to long-term goals
- Contribute to technical knowledge
- Inspire innovation
- Lead design of complex solutions
- Promote architectural consistency
- Drive technical strategy for major components
- Mentor senior engineers
- Engage with scientific, regulatory, clinical, and informatics partners
- Align on strategy, prioritization, and execution
- Strengthen collaboration and visibility
- Define and execute product strategy and roadmap
- Enhance data quality, accessibility, and reusability
- Act as primary product owner for imaging applications
- Translate business requirements into technical solutions
- Manage stakeholder relationships and external collaborations
- Oversee lifecycle of imaging data analysis applications
- Ensure timely product enhancements and workflow standardization
- Collaborate with engineering, quality, and regulatory teams
- Drive alignment across R&D, Diagnostics, and Data Science
- Manage dependencies, risks, and milestones
- Communicate progress through KPIs and reports
- Increase scalability, automation, and efficiency
- Monitor industry and technology trends
- Guide product innovation
- Implement common deployment format
- Reduce conversion costs
- Enhance inference speed
- Foster continuous improvement and collaboration
- Promote AI-driven automation
- Accelerate algorithm validation and documentation
- Reduce manual effort
- Manage priorities and release planning
- Engage stakeholders across technical and scientific domains
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- Infrastructure as Code (IaC)
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Pharmaceuticals
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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