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Cytiva is seeking a Staff Data Visualization Engineer to design, develop, and optimize large-scale BI and data visualization solutions. You will transform governed data into intuitive analytical experiences to empower business users to make data-driven decisions.
You will apply visualization best practices and governance standards to ensure usable, trusted analytics outputs while collaborating across data engineering, analytics, and platform teams.
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
Bring more to life.
Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology?
At Cytiva, 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.
Working at Cytiva means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us – working on challenges that truly matter with people that care for each other, our customers, and their patients. Take your next step to an altogether life-changing career.
Learn about the Danaher Business System which makes everything possible.
The Staff Data Visualization Engineer is responsible for designing, developing, and optimizing enterprise-scale business intelligence and data visualization solutions. The role transforms governed data into trusted, intuitive, and high-performing analytical experiences that enable business users to make data-driven decisions.
By applying visualization best practices, scalable development patterns, and enterprise governance standards, this role improves adoption, reduces technical debt, and ensures consistent delivery of analytics solutions across the organization.