d) at Danaher Corporation

Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Supply Chain, Life Sciences, BiotechnologyIndustries

Requirements

Bachelor’s with 5 years of experience or Master’s with 3 years of experience in Computer Science, Information Technology, Engineering or related field
Strong hands-on experience in AI agent and AI system development, with solid understanding of LLMs, autonomous agents, retrieval-augmented generation (RAG), and memory architectures
Strong hands-on experience with the concept and design of data pipelines utilizing different cloud tools such as SnowFlake, Azure, AWS
Familiar with co-solution development environment such as in Scala, Java or Python
Familiar with creating reports and visualization using Power BI, Power App, Power Automate or a similar BI tool

Responsibilities

Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications
Build and optimize data architectures to support AI/ML/OR (Operations Research) model training, evaluation and deployment
Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes
Monitor and troubleshoot data workflows, ensuring timely and accurate delivery of data to end users
Collaborate with data scientist, project managers and supply chain stakeholders to understand data needs and translate business requirements into technical solutions

Skills

Operations Research

data pipelines

data architecture

LLM orchestration

LangChain

Semantic Kernel

supply chain optimization

Danaher Corporation

Water quality, diagnostics, and identification solutions

About Danaher Corporation

Danaher Corporation operates in key markets such as water quality, product identification, and diagnostics. The company provides precision instruments and advanced purification technologies for analyzing and managing water, ensuring its safety in various environments. In product identification, Danaher specializes in laser marking, coding, and packaging solutions that help maintain product freshness and accurate labeling throughout the supply chain. In the diagnostics sector, Danaher offers tools and software that enhance diagnostic confidence, enabling healthcare providers to deliver effective care. What sets Danaher apart from competitors is its unique Danaher Business System, which focuses on continuous improvement and empowers employees to drive change. The company's goal is to consistently deliver high-performance products and solutions while maintaining leadership in its markets.

Washington, District of ColumbiaHeadquarters

1969Year Founded

IPOCompany Stage

Industrial & Manufacturing, Healthcare, Consumer GoodsIndustries

10,001+Employees

Risks

Increased competition from Roche and Abbott in AI-driven diagnostics.

Potential regulatory challenges in the EU for water quality sector.

Supply chain vulnerabilities affecting precision instruments sourcing.

Differentiation

Danaher's Danaher Business System drives continuous improvement and superior financial performance.

The acquisition of Cytiva enhances Danaher's capabilities in the biopharmaceutical sector.

Danaher's advanced purification technologies meet increasing demands for sustainable water management.

Upsides

Danaher's investment in AI-driven healthcare solutions boosts its diagnostics capabilities.

Cytiva acquisition expands Danaher's market share in the biopharmaceutical sector.

Point-of-care testing demand drives growth for Danaher's diagnostic tools and software.

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