Bring more to life.
At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact, innovating at the speed of life.
Our 60,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter.
DHR Enterprise AI Solutions is Danaher's enterprise AI engineering capability, responsible for identifying opportunities, building and scaling reusable AI solutions, and accelerating measurable business impact across operating companies. We combine product, architecture, AI science, engineering and operations to industrialise AI, establish enterprise standards and enable the next generation of AI-powered products, workflows, applications and decision-making.
We look forward to welcoming you to our organisation.
In DHR Enterprise AI Solutions, you will be responsible for creating reusable, production-grade Data Science, Machine Learning and AI solutions that solve complex business, scientific, laboratory and instrument-related challenges across Danaher.
You will serve as a technical expert in Data Science and Machine Learning, helping transform data into predictive capabilities, optimisation models, actionable insights and intelligent decision-support solutions that can be deployed, scaled and reused across operating companies.
This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be an on-site role (Kraków).
In this role, you will have the opportunity to:
- Develop advanced statistical, data science, machine learning and AI models that solve complex business and scientific problems and generate measurable impact across Danaher operating companies.
- Design and lead experiments, evaluation frameworks, validation methodologies and performance benchmarks that ensure scientific rigour, model reliability and evidence-based decision making.
- Curate, transform and analyse enterprise data assets, establishing high-quality datasets, feature sets and analytical foundations that accelerate machine learning, optimisation and predictive modelling initiatives.
- Select, develop and refine appropriate modelling approaches, algorithms and analytical techniques, providing technical leadership across the full model-development lifecycle from experimentation through production deployment.
- Partner with Product Owners, Architects, AI Scientists and Engineers to integrate analytical capabilities, predictive models, forecasting solutions and optimisation techniques into scalable, production-ready enterprise solutions.
The essential requirements of the job include:
- Strong expertise in statistics, machine learning, predictive modelling, optimisation techniques and quantitative analysis, gained through hands-on delivery of Data Science and Machine Learning solutions.
- Deep understanding of experimental design, hypothesis testing, Bayesian inference, causal inference, model evaluation, feature engineering, forecasting methodologies and analytical best practices.
- Proficiency in Python, SQL, notebooks, cloud-based analytics platforms and modern machine learning frameworks used to develop, train and deploy production-grade models.
- Strong analytical and problem-solving skills, with the ability to frame ambiguous business or scientific challenges and develop data-driven solutions that create measurable value.
- Excellent communication and stakeholder-management skills, with the ability to explain complex analytical concepts and influence both technical and business audiences.
It would be a plus if you also possess previous experience in:
- Developing predictive models, optimisation capabilities, forecasting solutions or advanced analytics that improve operational performance, scientific outcomes, customer experience or business results.
- Building machine learning solutions using techniques such as gradient boosting, ensemble methods, Bayesian modelling, time-series forecasting, optimisation algorithms or other advanced statistical approaches.
- Working in life sciences, diagnostics, healthcare, laboratory environments, advanced manufacturing or other data-rich scientific industries.
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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
- Strong expertise in statistics, machine learning, predictive modeling, optimization techniques, and quantitative analysis through hands-on delivery of data science and machine learning solutions.
- Deep understanding of experimental design, hypothesis testing, Bayesian inference, causal inference, model evaluation, feature engineering, forecasting methodologies, and analytical best practices.
- Proficiency in Python, SQL, notebooks, cloud-based analytics platforms, and modern machine learning frameworks.
- Strong analytical and problem-solving skills, including the ability to address ambiguous business or scientific challenges with data-driven solutions.
- Excellent communication and stakeholder-management skills, with the ability to explain complex analytical concepts to technical and business audiences.
- Experience developing predictive models, optimization capabilities, forecasting solutions, or advanced analytics that improve performance or business outcomes.
- Experience with gradient boosting, ensemble methods, Bayesian modeling, time-series forecasting, optimization algorithms, or other advanced statistical approaches.
- Experience in life sciences, diagnostics, healthcare, laboratory environments, advanced manufacturing, or other data-rich scientific industries.
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.
