About Beckman Coulter Diagnostics
At Beckman Coulter Diagnostics, we help healthcare professionals make informed decisions through diagnostic solutions that support better patient care. As part of Danaher, we bring together science, technology, and continuous improvement to address real healthcare challenges.
Join our EMEA Marketing organisation and help explore how artificial intelligence, data analytics, and automation can improve the way our teams work and make decisions.
Your Role
As Marketing Associate – AI & Digital Transformation, you will support practical AI and digital projects across the EMEA Marketing organisation during a six-month assignment.
Working under the guidance of strategic marketing and project leads, you will help analyse data, identify opportunities to simplify processes, and build and test prototypes that address real business needs. Your work will support better marketing insights, more efficient reporting, and the adoption of useful digital tools.
This role is suited to an early-career candidate who enjoys solving problems, experimenting with technology, and turning ideas into practical solutions. Relevant university projects, internships, and personal projects are valued.
Key Responsibilities
- Support the delivery of AI, data analytics, and digital transformation projects within EMEA Marketing.
- Work with strategic marketing colleagues to understand business needs and identify opportunities for automation and improved reporting.
- Collect, cleanse, transform, and validate data to support reliable analysis and reporting.
- Help develop dashboards and visualisations that translate marketing data into clear, actionable insights.
- Rapidly build and test prototypes, such as automated workflows, reporting tools, and AI-assisted solutions, with guidance from project leads.
- Explore Generative AI and prompt engineering to support relevant marketing use cases, including information synthesis, knowledge access, and content workflows.
- Test outputs for accuracy, relevance, and usability, and refine solutions based on feedback.
- Document workflows, findings, and user guidance to support adoption and project handover.
- Help track project progress and benefits, such as time saved, improved data quality, and reduced manual work.
- Follow company requirements for data privacy, information security, and responsible use of AI.
Qualifications and Skills
- Relevant education in Data Science, Computer Science, Information Systems, Business Analytics, Engineering, Digital Marketing, or a related field, or equivalent practical experience.
- Strong interest in Artificial Intelligence, Data Analytics, and business process automation.
- Strong analytical thinking and problem-solving skills, with close attention to data quality and detail.
- Ability to learn new tools quickly and translate business questions into practical approaches.
- Ability to explain findings clearly to colleagues with different levels of technical knowledge.
- A collaborative approach, curiosity, and the ability to organise assigned tasks and meet agreed deadlines.
- Good written and spoken English to work across the EMEA organisation.
Experience That Would Be an Advantage
- Exposure to Generative AI, machine learning, and prompt engineering through academic, personal, or professional projects.
- Familiarity with one or more Microsoft data and AI platforms: Power BI, Power Automate, Power Apps, Microsoft Fabric, or Azure AI.
- Experience with Python for data analysis, automation, or prototyping.
- Practical experience in data cleansing, transformation, modelling, and visualisation.
- Exposure to marketing analytics, campaign reporting, customer insights, or process improvement.
Experience with every listed technology is not required. We value a strong foundation, evidence of practical learning, and the motivation to apply new skills.
What You Will Gain
- Practical experience applying AI and digital tools to real marketing challenges.
- Exposure to regional projects and collaboration across EMEA.
- Opportunities to strengthen your technical, analytical, and business communication skills.
- Experience contributing to a global diagnostics organisation within Danaher, where continuous improvement and learning are part of how we work.
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.
Skills Required
- Relevant education in Data Science, Computer Science, Information Systems, Business Analytics, Engineering, Digital Marketing, or a related field, or equivalent practical experience
- Strong interest in Artificial Intelligence, Data Analytics, and business process automation
- Strong analytical thinking and problem-solving skills
- Close attention to data quality and detail
- Ability to learn new tools quickly and translate business questions into practical approaches
- Ability to explain findings clearly to colleagues with different levels of technical knowledge
- Collaborative approach, curiosity, and ability to organise assigned tasks and meet agreed deadlines
- Good written and spoken English for working across the EMEA organisation
- Exposure to Generative AI, machine learning, and prompt engineering
- Familiarity with Power BI, Power Automate, Power Apps, Microsoft Fabric, or Azure AI
- Experience with Python for data analysis, automation, or prototyping
- Practical experience in data cleansing, transformation, modelling, and visualisation
- Exposure to marketing analytics, campaign reporting, customer insights, or process improvement
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.
