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The role involves achieving sales targets, building customer relationships, promoting consumables, and collaborating with internal stakeholders in the Life Sciences industry.

Develop and execute sales strategy to meet targets; grow market share in refinery, oil & gas, chemical and industrial accounts; coordinate cross-functional teams; identify capacity expansion opportunities; report opportunities via SFDC; maintain frequent face-to-face customer interactions and extensive travel.

Designs, troubleshoots, tests, and improves automated manufacturing equipment and mechanical systems for reliable production. Leads failure analysis, prototypes mechanical improvements, and partners with operations, maintenance, quality, and EHS to implement safe, compliant automation enhancements.

Own supplier relationships for assigned metals commodity: identify and qualify suppliers, negotiate contracts, drive supplier performance and OTD, support strategic sourcing and inventory targets, execute commodity strategy, partner with cross-functional teams, and perform limited domestic/international travel.

The Senior Analyst Technical Support role involves planning and installing complex automation systems, providing technical support, troubleshooting, and training for product lines across Europe.

The Sr Business Intelligence and Data Analyst designs and develops business intelligence solutions and data architectures to enable data-driven decision-making, utilizing Power BI, SQL, and other tools for reporting and data management.

Manage customer success for Integrated Solutions customers, ensuring supply readiness and issue resolution while coordinating with cross-functional teams to improve outcomes.

Lead and develop a team of Manufacturing and Project Engineers to optimize processes in a medical device manufacturing facility while ensuring compliance with safety, quality, delivery, and productivity standards.

The Project Manager, Global Logistics leads and coordinates global logistics initiatives to improve distribution effectiveness and customer experience across cross-functional teams.

Lead design, development, and production deployment of scalable generative AI and agentic systems. Own end-to-end GenAI lifecycle, integrate multimodal data sources, fine-tune models, enable RAG and automation, collaborate with R&D/product/engineering, and drive ML Ops, monitoring, governance, and reliability for high-performance solutions.