Bring more to life.

Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?

At Radiometer, one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact.

You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life.

At Radiometer, life comes first. Our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses. We’re a team that celebrates diverse ideas and continuous improvement. Here, you’ll find a place to grow and make a real impact, with your unique perspective driving us forward in improving patient care. At Radiometer, our vision is to improve global healthcare with reliable, fast, and easy patient diagnoses.

Learn about the Danaher Business System which makes everything possible.

The Data Science Manager is responsible for building and leading Radiometer’s Data Science Competency Center—a central, high-impact capability that delivers advanced analytics, modeling, and AI solutions across Product Development (NPD), Software PLM, and commercial/field operations. You will develop a cohesive strategy, operating model, and standards that scale globally, while mentoring a high-performing team and embedding DBS practices to deliver measurable outcomes for patients and customers.

In this role, you will have the opportunity to:

• Build the Competency Center (CoE): Establish the mission, service catalog, governance, and engagement model for a central Data Science capability that supports R&D programs, verification & validation, systems modeling, and data-driven product insights.
• Shape the strategy & roadmap: Define and execute a multi-year roadmap aligned to Radiometer STRAT priorities and DBS principles—covering use cases, platforms, skills, and measurable value creation.
• Deliver end-to-end solutions: Lead teams across the full lifecycle—from problem framing and data acquisition to model development, validation, deployment (MLOps), monitoring, and post-market performance analytics.
• Standardize practices & tooling: Harmonize methods (e.g., experiment design, statistical inference, ML modeling, simulation), pipelines (data engineering), and platforms (cloud analytics, model lifecycle tools) to ensure quality, reproducibility, and compliance.
• Strengthen data governance: Define data quality standards, lineage, documentation, and retention—supporting privacy, security, and regulatory expectations across geographies.
• Activate the community: Stand up training, playbooks, and internal communities (e.g., Python, KQL/ADX) to grow skills and democratize analytics while maintaining standards.
• Partner widely: Collaborate with product systems, software engineering, QA/RA, clinical affairs, marketing, service and regional teams to prioritize initiatives and allocate resources effectively.
• Own outcomes & budgets: Manage team capacity, vendor engagements, and budgets; report outcomes and impact through DBS Daily Management, Kaizens, and value metrics.
• Represent the function: Serve as Radiometer’s Data Science spokesperson with internal stakeholders, subsidiaries, and external partners; showcase results and best practices.

Essential Requirements:

• 10+ years of experience leading high-impact data science/analytics in global, matrixed organizations; proven people leadership of multi-disciplinary teams.
• Strategic mindset with a track record of translating complex opportunities into clear portfolios, execution plans, and measurable outcomes.
• POCT/medical software familiarity and strong domain empathy—able to align analytics to product performance, usability, and clinical value.
• Full-stack data science proficiency (problem framing, statistics, ML/AI, experimentation, causal inference, simulation) and MLOps (CI/CD for models, monitoring, governance).
• Data engineering & cloud analytics literacy (e.g., Python, SQL; modern data platforms; orchestration and model registries).
• Stakeholder management & communication excellence—from L1 leadership to cross-functional teams; adept at change leadership.
• Lean aligned execution, including Daily Management, PSP, Kaizen, Standard Work, and VOC.

Application

We continuously assess candidates and invite them for interviews, so please don’t hesitate to write and send in the application. The recruitment will be completed as soon as a suitable candidate is found.

We look forward to seeing your application.

We thank you for your interest. Please read our Applicant Data Privacy Notice carefully here.

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.