Clinical diagnostics instruments, lab automation and informatics for labs
Beckman Coulter Diagnostics builds immunoassay, hematology, chemistry and microbiology systems for hospital and reference labs. Its stack pairs lab-interoperability standards (HL7, ASTM, Mirth) with industrial tooling (Rockwell Automation, Structured Text, Altium, SolidWorks) and a planning layer of SAP, Oracle ERP, Kinaxis and Anaplan, with OpenAI now being adopted. Hiring skews heavily toward field service and support, pointing to an installed-base business focused on uptime.
Notable leadership hires: Managing Director
Beckman Coulter Diagnostics is a Brea, California-based maker of clinical diagnostic systems, founded in 1935 and operating as part of Danaher. Its portfolio spans immunoassay, hematology, clinical chemistry and microbiology, alongside lab automation, information systems and lab performance services. Customers include hospitals, reference laboratories and physician office settings worldwide. The company employs more than 10,000 people and hires across North America, Europe, the Middle East and Asia, including the United States, India, Ireland, Germany, China and Japan.
Its stack includes C#, .NET, WPF, Java, Angular, React and SQL Server, healthcare integration via HL7, ASTM and Mirth, plus SAP, Oracle ERP, Kinaxis, Anaplan, OneStream, Salesforce and Power BI.
It hires in the United States, India, Ireland, Germany, Austria, South Korea, China, Poland, the UK, Spain, Italy, Saudi Arabia, the Netherlands, Japan and Canada.
Yes. Support is the largest hiring area, followed by operations, research and sales, with most openings at senior level, reflecting focus on servicing installed diagnostic instruments.
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Beckman Coulter Diagnostics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.