Wondering what’s within Beckman Coulter Diagnostics? Take a closer look.
At first glance, you’ll see that for more than 80 years we’ve been dedicated to advancing and optimizing the laboratory to move science and healthcare forward. Join a team where you can be heard, be supported, and always be yourself. We’re building a culture that celebrates backgrounds, experiences, and perspectives of all our associates. Look again and you’ll see we are invested in you, providing the opportunity to build a meaningful career, be creative, and try new things with the support you need to be successful.
Beckman Coulter Diagnostics is proud to work alongside a community of six fellow Diagnostics Companies at Danaher. Together, we’re working at the pace of change to improve patient lives with diagnostic tools that address the world’s biggest health challenges.
This position is part of the Information Technology (IT) department located in Brea, CA and will be onsite. At Beckman Coulter, our vision is to relentlessly reimagine healthcare, one diagnosis at a time.
You will be a part of the Enterprise Data & AI Team and report to the Senior Manager responsible for data management and analytics development. If you thrive in a multifunctional, fast paced role and want to work to build a world-class information technology organization—read on.
In this role, you will have the following opportunities, but are not limited to:
- Supporting the build-out of an enterprise data catalog — profiling datasets, documenting business definitions, and labelling data so it is usable by both people and AI models.
- Engineering and testing features that improve the accuracy of machine learning and AI models across Finance, Service, and Supply Chain use cases.
- Designing and testing prompts for AI agents such as Claude Cowork — evaluating response quality and identifying failure cases.
The essential requirements of the job include:
- Currently pursuing a bachelor’s degree in Data Science, Statistics, Math, Computer Science, Computer Information Systems or other relevant quantitative fields
- Experience with two or more of the following data science tools in your repertoire: SQL, SAS, R, Python, SPSS, data mining, etc.
- Experience with relational databases and SQL preferred.
It would be a plus if you also possess previous experience in:
- Familiarity with vector databases or semantic search concepts
- Experience with data catalog or data governance tools (e.g. Collibra, Atlan)
- Experience with Microsoft Azure tools
The hourly range for this role is $30 USD / Hour. 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.
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.
For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click 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 [email protected].
Skills Required
- Currently pursuing a bachelor's degree in Data Science, Statistics, Math, Computer Science, Computer Information Systems, or another relevant quantitative field
- Experience with two or more data science tools, such as SQL, SAS, R, Python, SPSS, or data mining
- Experience with relational databases and SQL
- Familiarity with vector databases or semantic search concepts
- Experience with data catalog or data governance tools, such as Collibra or Atlan
- Experience with Microsoft Azure tools
Danaher Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
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Retirement Support — Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
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Parental & Family Support — Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.
Danaher Corporation Insights
What We Do
Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.





