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

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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. /p h3Opportunity /h3 ul liDefine and execute the product strategy and roadmap for multi‑modal (including Radiology and Digital Pathology) Imaging Data Insights within the Global Imaging Platform (GIP) /li liPrioritize and deliver initiatives that enhance data quality, accessibility, and reusability for RD, translational research, and clinical development /li liAct as the primary product owner for the imaging modalities analysis applications, coordinating across gRED, pRED, PD, RDT, and RIS /li liPartner with scientific, clinical, and technical leads to translate business requirements into scalable and compliant technical solutions /li liManage stakeholder relationships and external collaborations to ensure interoperability, compliance, and strategic alignment /li liOversee the end‑to‑end lifecycle of multi‑modal imaging data analysis applications, visualization, and analytics /li liEnsure timely delivery of product enhancements, standardized workflows, and integration of AI/ML‑enabled tools /li liCollaborate with engineering, quality, and regulatory teams to ensure adherence to GxP, FAIR, and data‑governance standards /li liDrive alignment across RD, Diagnostics, and Data Science functions to enable shared data and analysis pipelines and unified processes /li liManage dependencies, risks, and milestones for all digital pathology deliverables and communicate progress through KPIs and performance reports /li liIdentify and implement opportunities to increase scalability, automation, and efficiency across analysis workflows /li liMonitor industry and technology trends in digital pathology, AI/ML, and digital health to guide ongoing product innovation /li liIdentify and introduce the common format for deployment, reducing conversion costs and enhancing inference speed across hardware and deployment endpoints /li liFoster a culture of continuous improvement, collaboration, and knowledge sharing within Roche’s global imaging community /li liPromote AI‑driven automation to accelerate algorithm validation and documentation, improving speed and reducing manual effort /li liAct as a product owner for imaging algorithm platforms, managing priorities, release planning, and stakeholder engagement across technical and scientific domains /li /ul h3Who You Are /h3 ul liPrevious experience with medical imaging technology, preferably across multiple modalities /li liDemonstrated experience defining tasks, coaching engineers, and successfully driving medium to large‑scale initiatives across a product or product line /li liProven track record of contributing to the technical strategy for major components/services and participating in global knowledge‑sharing events /li liExpertise in multiple programming paradigms and languages, actively influencing technical choices and practices /li liStrong capability in leading the design for multi‑service solutions and evaluating system patterns /li liProficiency with building and supporting AI/ML based models analysis applications, including applications interoperability, performance optimization, cross‑platform compatibility and standardisation using advanced cloud features, with the ability to design and optimise cloud solutions and CI/CD pipelines /li liExperience implementing reusable Infrastructure as Code (IaC) modules for services and teams /li liAbility to design observability for interconnected services, improve monitoring, and solve complex cross‑service issues while profiling performance /li liStrong background in developing advanced testing strategies, championing automation, implementing security best practices, and conducting threat modelling /li liExceptional leadership and mentorship skills, specifically in mentoring senior engineers and promoting code quality and architectural consistency through critical design reviews /li liStrong communication and negotiation skills, capable of effectively communicating complex technical information and building mutually beneficial partnerships across stakeholder ecosystems /li liPractical experience working with regulatory, and quality teams to align development processes with Roche QMS and compliance requirements /li /ul pRoche is an Equal Opportunity Employer. /p /p #J-18808-Ljbffr Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

Join Roche, where every voice matters. /p h3Position /h3 pbSenior Lead Engineer /b 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.