Senior Plant System Engineer at Johnson & Johnson advancing data systems in pharmaceutical development. Collaborating with teams to optimize systems and ensure innovative solutions.
Responsibilities
Design & Implement Software Solutions: Together with functional business leaders, data architects and IT, define future state plant systems landscape for the TDS pilot plants (MES, PI and Seeq), driven by business value
Data Lifecycle Management: Have a solid understanding of the entire data process for the plant systems (systems (MES, PI and Seeq)) from collection to analysis, adhering to FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
Collaborate with Scientific Experts: Partner with scientists, engineers, and IT teams to optimize manufacturing systems, ensuring seamless data integration and usability.
Stakeholder Alignment: Work closely with TDS stakeholders to align strategies, prioritize system enhancements, and promote widespread adoption of data solutions.
Vendor Management: Manage relationships with vendors of laboratory, manufacturing, and data analytics systems to ensure quality, compliance, and innovation.
Troubleshooting & Continuous Improvement: Identify and resolve system and data issues, proposing both immediate fixes and long-term improvements.
Regulatory, Audit & SOP Management Support: Represent business user requirements during system upgrades, validations, and regulatory inspections to ensure compliance, data integrity, and operational excellence.
Cross-Functional Leadership: Lead or contribute to projects across departments, fostering collaboration and innovation.
Requirements
Bachelor’s degree or higher in Chemical Engineering, Chemistry, Pharma, Information Technology or related sciences/engineering disciplines is required.
Minimum of 6+ years of relevant industry experience in pharmaceutical, biotech, or related sectors is required.
Hands-on experience with MES (Körber PAS-X), Historian (AVEVA-PI), or Advanced analytics (SEEQ) in manufacturing environments is required.
Experience with PLC-controlled equipment, process automation hardware and software, OT networks infrastructure and systems is highly preferred.
Thorough knowledge of ISA S88/S95 standards is required.
Proven experience with the drug development process, including tech transfer and product lifecycle management is preferred.
Hands-on experience with advanced data analytics relevant to pharmaceutical development (at least two of the following areas): plant systems, process analytics, or digital tools is required.
Demonstrated knowledge of Good Manufacturing Practice (GMP) regulations; proven understanding of GAMP and SDLC requirements is required.
Experience with FAIR data principles and digital transformation projects is preferred.
Organizational and project management skills, balancing multiple complex projects with effective customer management is preferred.
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