The Senior Scientist, Laboratory Automation & Instrumentation Engineer is the site’s recognized subject matter expert in laboratory automation, instrumentation, and system integration. This senior scientist is an individual contributor SME for the design, implementation, optimization, and lifecycle management of automated platforms and laboratory instruments across Quality Control (QC) and related operations at sister sites. The role combines advanced technical expertise with strategic vision to enhance operational efficiency, data integrity, and regulatory compliance.
Working in partnership with R & D scientists, engineers, IT/digital teams, and cross-functional stakeholders, the position drives complex laboratory automation initiatives from concept through implementation, ensures ongoing system performance, and champions innovation in laboratory processes. The incumbent also mentors peers, develops best practices, and influences technical strategy to meet current and future QC department laboratory business needs.
Primary Duties:
Automation & Instrumentation Strategy
System Design, Integration & Optimization
Lifecycle Management & Compliance
Technical Troubleshooting & Continuous Improvement
Project Leadership & Cross-Functional Collaboration
Documentation, Training & Knowledge Sharing
Requirements:
Bachelor’s degree in Engineering, Biological Sciences, Chemistry, Computer Science, or related field with 8+ years of technical and scientific experience working with automated laboratory equipment, data acquisition systems and laboratory instrumentation.
Extensive hands-on experience with automated liquid-handling platforms (e.g., Hamilton, Beckman Coulter, Tecan, Agilent) and/or integrated workcells with scheduling software.
Proven expertise in instrumentation lifecycle management, workflow automation, method development, and regulated laboratory environments.
Experience working with LIMS, ELN, data acquisition systems, and instrument integration.
Substantial experience in technical writing in investigations, CAPAs, validation documentation, etc. is required.
Experience with regulatory compliance (GxP, GLP/GMP, FDA) and associated documentation requirements.
Familiarity with programming languages (e.g., Pascal, Python, C#, Visual Basic) preferred.
Demonstrates expertise in analyzing data from automated systems, including performing detailed comparisons between manually collected and system-generated data.
Experience in method development and the application of advanced statistical techniques to ensure robust method validation. and basic understanding of data analytics.
Knowledge, Skills and Abilities:
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