Senior Lead Engineer, Imaging Algorithm Development - RDT Biometrics and Clinical Evidence

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The Senior Lead Engineer will lead the end-to-end algorithm lifecycle—from development through validation and regulatory‑ready deployment—ensuring alignment with GxP, SaMD, and Imaging Governance frameworks. Acting as the single point of accountability across gRED, pRED, PD, RDT, and RIS, the role will deliver scalable analytical platform capabilities, promote automation, and ensure quality, documentation, and compliance standards are consistently applied.

This position drives the vision, strategy and execution of the imaging algorithm ecosystem, enabling faster, reproducible and compliant development and deployment across research and clinical domains. You will define tasks for others, coach and lead engineers, excel in stakeholder negotiations and guide mid‑to‑long‑term goals. You will contribute to technical knowledge, inspire innovation and lead the design of complex multi‑service and multi‑modal solutions, advance AI/ML models architecture, interoperability, advanced analysis application frameworks, cloud features, and mentor senior engineers to maintain high engineering quality.

Daily engagement with scientific, regulatory, clinical and informatics partners to align on strategy, prioritization and execution will strengthen collaboration and visibility across global teams, serving as a bridge between Imaging Governance, Algorithm Development and Platform Operations.

• Define and execute the product strategy and roadmap for multi‑modal (including Radiology and Digital Pathology) Imaging Data & Insights within the Global Imaging Platform (GIP)
• Prioritize and deliver initiatives that enhance data quality, accessibility and reusability for R&D, translational research and clinical development
• Act as the primary product owner for the imaging modalities analysis applications, coordinating across gRED, pRED, PD, RDT and RIS
• Partner with scientific, clinical and technical leads to translate business requirements into scalable and compliant technical solutions
• Manage stakeholder relationships and external collaborations to ensure interoperability, compliance and strategic alignment
• Oversee the end‑to‑end lifecycle of multi‑modal imaging data analysis applications, visualization and analytics
• Ensure timely delivery of product enhancements, standardised workflows, and integration of AI/ML‑enabled tools
• Collaborate with engineering, quality and regulatory teams to ensure adherence to GxP, FAIR and data‑governance standards
• Drive alignment across R&D, Diagnostics and Data Science functions to enable shared data and analysis pipelines and unified processes
• Manage dependencies, risks and milestones for all digital pathology deliverables and communicate progress through KPIs and performance reports
• Identify and implement opportunities to increase scalability, automation and efficiency across analysis workflows
• Monitor industry and technology trends in digital pathology, AI/ML and digital health to guide ongoing product innovation
• Identify and introduce the common format for deployment, reducing conversion costs and enhancing inference speed across hardware and deployment endpoints
• Foster a culture of continuous improvement, collaboration and knowledge sharing within Roche’s global imaging community
• Promote AI‑driven automation to accelerate algorithm validation and documentation, improving speed and reducing manual effort
• Act as a product owner for imaging algorithm platforms, managing priorities, release planning and stakeholder engagement across technical and scientific domains

• Previous experience with medical imaging technology, preferably across multiple modalities
• Demonstrated experience defining tasks, coaching engineers and…