• Responsible for compliance with regulatory and ICH guidelines, GCPs, company guidelines and Standard Operating Procedures, and CDM best practices. • Independently serves as the lead point of contact for all data management study-related communications. • Independently leads EDC development, including CRF development, EDC specification process, edit check development and User Acceptance Testing including test scripts and execution logs, issue logs, and UAT summary reports. • Reviews and assists in the development of study documents drafted by CROs such as Data Management Plans, Data Validation Specifications, eCRF Completion Guidelines, Data Review Plans, Data Transfer Agreements, and other cross-functional study documents that may require data management input. • Ensures the quality of clinical data within the EDC and other databases through regular data review and external data reconciliation processes and communicates any outstanding issues to the cross-functional teams. • Monitors and tracks the quality of all data management deliverables. • Leads data deliverables including snapshots for DMC, investor relations, publications, etc., and interim and final database locks, in collaboration with the CRO DM Vendor. • Effectively oversees contracted vendors, or vendor groups within CRO, to ensure data are complete, accurate and delivered within agreed on timelines. • Leads and facilitates Data Review Meetings with the cross-functional team, presenting metrics, trends, risks, and or issues. • Actively participates in team meetings – DM or cross-functional. • Coordinates transfers of SAS datasets or external data transfers from CROs. • Support TFL reviews, yearly regulatory submission requirements, compilation of CSRs, etc. • Responsible for TMF maintenance of data management-related study documents. • Responsible for archiving trial(s) and associated documentation upon trial(s) completion.

- Leading the architecture, design, strategy, development and implementation of agentic AI systems capable of goal-driven decision-making, planning, and action under real-world constraints - Translate product and customer requirements into production grade AI system designs - Drive rapid iteration of deployment while maintaining system reliability and safety - Participating in peer-reviews of solution designs and related code - Working with teammates to dive efβiciencies to development procedures - Analyzing and resolving technical problems - Deβining standards for the platform to deliver AI solutions - Balance learning-based approaches with deterministic or rules-based components where appropriate - Support customer-facing and sales technical discussions when AI and platform expertise is required

• Design and implement data validation pipelines and model evaluation workflows in a cloud environment (AWS). • Integrate data and evaluation metrics into an automated, auditable pipeline. • Modularize the pipeline to facilitate reuse, testing, and maintenance. • Collaborate with Data Science, Data Engineering, and Product teams. • Ensure best practices for versioning, logging, monitoring, and automated testing. • Propose continuous improvements to data architecture and validation processes.

At first glance, you’ll see Danaher’s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms—life sciences, diagnostics, and biotechnology. Look again and you’ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You’ll find associates who are as certain about their impact as they are about where they’re headed next. You’ll find the Danaher Business System, which makes everything possible. You’ll also see a company that investors trust—our culture of continuous improvement has helped us outperform the S&P 500 by more than 5,000% over the past 25 years. The Principal AI Data Scientist – Service will join the Supply Chain AI team, reporting to Director, Supply Chain AI Technology. This role is responsible for designing, developing, and deploying end-to-end AI and data science solutions that power our global service operations—spanning field service engineer (FSE) workforce optimization, service job routing, predictive and preventative maintenance, and service parts inventory management. This role is ideal for senior practitioners who are passionate about building production-grade, cloud-native AI/ML and optimization solutions—not just proofs of concept. You will leverage Azure for compute and agent workflows, and Snowflake as the enterprise data platform, to deliver scalable, reliable, and secure solutions with robust CI/CD. You will also work closely with service leaders, planners, and operational teams to translate business problems into AI solutions that drive measurable impact. This role will be working remotely and expected to travel up to 25-30% for workshop and stakeholder engagement. In this role, you will have the opportunity to: - Design, develop, and deploy end-to-end AI and data science solutions for service use cases such as: - Build, productionize, and maintain ML/OR models and agentic workflows using Azure services (e.g., Azure Functions, Container Apps/Kubernetes, Azure ML, Event-driven architectures) and Snowflake as the core data platform. - Own the full lifecycle from problem framing, data exploration, feature engineering, modeling, and experimentation to deployment, monitoring, and continuous improvement in a CI/CD environment (e.g., Azure DevOps or GitHub Actions). - Collaborate cross-functionally with Service Operations, Field Service, Parts Planning, IT, and product/engineering teams to align technical solutions with operational realities, SLAs, and business KPIs. - Partner with solution architects, data engineers, and platform engineers to define robust data models and data pipelines in Snowflake that support analytics, optimization, and real-time decisioning at scale. Ensure models and services are robust, secure, and production ready, with clear monitoring, alerting, feedback loops, and retraining strategies. The essential requirements of the job include: - PhD or Master’s degree in Data Science, Computer Science, Operations Research, Industrial Engineering, Applied Mathematics, or a related quantitative field. - Multiple years of experience (typically 7+ years) in AI, data science, or advanced analytics, with significant experience focused on service, maintenance, field operations, or closely related operational optimization domains. - Strong proficiency in Python and experience with modern ML/AI and optimization frameworks (e.g., scikit-learn, PyTorch, OR-Tools/Gurobi or similar, and optionally LLM/agent frameworks for workflow orchestration). - Demonstrated experience building and deploying production-grade AI/ML or optimization solutions on Azure, including containerized services, APIs, and CI/CD pipelines. - Hands-on experience working with Snowflake (or a similar cloud data platform) for data modeling, SQL development, performance tuning, and integrating analytics/ML workloads. It would be a plus if you also possess previous experience in: - Direct experience in Service Operations, Field Service, Asset Management, or Service Supply Chain functions. - Familiarity with ERP and service management systems (e.g., Oracle, SAP, ServiceMax, Salesforce Field Service, or similar) and how they support service orders, assets, and parts. - Experience with large language models (LLMs) and intelligent agents applied to service workflows, such as technician copilots, knowledge retrieval, or conversational troubleshooting. At Danaher we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide. The annual salary range for this role is $150K-$215K.. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. #LI-Remote We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.