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Automation Engineer - Singapore  

Company managed [?] Still accepting applications

Posted on : 01 May 2017

Project Description

Role Description:Support Service Owner and System Owner roles for BMS and PLCs at ASM. Make changes to plant control systems under strict GMP change control to optimize processes and maintain compliance.
Responsible for the execution of all design, build and run service (and system) activities.
Responsible for Service Delivery, including the achievement of service agreement, cost management, supplier relationship and service fit for use.
Develop technical solutions to complex problems requiring the regular use of ingenuity and creativity.
Lead or support troubleshooting efforts with cross-functional teams to determine root cause and to develop appropriate corrective actions to prevent reoccurrence.
Education / LicensesDegree in Engineering, Information Systems, Computer Science, or Life Sciences
Bachelor’s degree & 4 years of directly related experience
Relevant Experience4 + years experience in manufacturing automation, particularly in biotechnology or pharmaceutical bulk operations
Must have experience with level 2 Automation systems and be knowledgeable in Rockwell and Siemens technology.
Experience with installation, administration, and troubleshooting computer data networks and servers is preferred.
Competencies / SkillsAbility to translate strategic opportunities and emerging technology solutions into tangible pragmatic executable plans
Demonstrated ability to lead and manage small projects and work effectively on teams
Experience supporting information interfaces, data conversion and network infrastructure.
Automation Technical Support of an operating Bulk Facility
Working knowledge of pharmaceutical/biotech processes
Working knowledge of GAMP software development lifecycle, ANSI/ISA-S88 and S95 industry standards
Experience directing efforts of automation contractors using appropriate development methodologies to establish a PCS, BAS, PES, and MES implementation
Define, measure and improve system performance based on tangible metrics