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

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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 be responsible for defining tasks for others and driving medium to large‑scale initiatives across a product, coaching and leading other engineers, excelling in stakeholder negotiations, and providing direction for mid to long‑term goals. You will actively contribute to technical knowledge, inspire innovation, and lead the design of complex multi‑service and multi‑modal solutions. With expertise in AI/ML models architecture and interoperability, advanced analysis application frameworks and cloud features, you will promote architectural consistency, drive technical strategy for major components, and mentor senior engineers to ensure the highest standards of engineering quality across the organization.

This Senior Lead Engineer role requires daily engagement with scientific, regulatory, clinical, and informatics partners to align on strategy, prioritization, and execution to strengthen collaboration and visibility across global teams, providing a direct 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, standardized 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…