Job Title: Senior Engineer MCS/Manufacturing & Clinical Supply (JP11756 Location: Thousand Oaks CA. 91320 Hybrid Business Unit: F&E Drug Product Supply Employment Type: Contract Duration: 1 years (with possible extensions) Rate: $60 $70/hour W2 Posting Date: 08/30/2023 Notes: Only qualified candidates need apply. Onsite 8:00AM 5:00 PM with some flexibility to work remotely.
3 Key Consulting is recruiting aManufacturing and Clinical Supply/MCS Senior Engineer for a consulting engagement with our direct client a leading global biotechnology company.
Job Description:
Responsible for developing and deploying data sciencebased tools for asset reliability monitoring for Manufacturing & Clinical Supply (MCS).
This is a unique opportunity for client staff to learn the diverse MCS operations for drug substance drug product and final drug product (DSDPFDP) Warehouse interact with various MCS F&E SMEs to develop knowledge on KPIs for equipment and advance existing framework of asset reliability monitoring analytics.
The outcome of this effort will be to build a single platform and data architecture that can aggregate reliability performance of all MCS assets while providing ability to double click down to individual asset level.
In this role the staff will be reporting to MCS Reliability Pr. Engineer for guidance as well as interact with other F&E plant leaders for client feedback and support.
Other key learnings for staff in this role are applications of reliability centered maintenance strategies conditionbased maintenance techniques and good engineering practices data science applications advanced analytics and project management capabilities for Reliability Engineering projects.
Top Must Have Skill Sets:
Regularly apply theories and principles from Data Science to develop and deploy asset performance monitoring tools.
Facilitate reliability centered maintenance assessments collaborate with SMEs to apply six sigma methodologies for improving maintenance strategies and implementation.
Train perform and develop reliability tools and procedures (RCM FMEA RCA reliability models statistical analysis etc.
Day to Day Responsibilities:
Contribute to Reliability Engineering strategic planning and continuous improvement opportunities
Create reliability documents business process documents schedules and reports
Collaborate closely with Maintenance Engineering Manufacturing to understand and respond to the Voice of the Customer
Regularly apply theories and principles from Data Science to develop and deploy asset performance monitoring tools.
Facilitate reliability centered maintenance assessments collaborate with SMEs to apply six sigma methodologies for improving maintenance strategies and implementation
Train perform and develop reliability tools and procedures (RCM FMEA RCA reliability models statistical analysis etc.
Contribute to Reliability Engineering strategic planning and continuous improvement opportunities
Create reliability documents business process documents schedules and reports
Collaborate closely with Maintenance Engineering Manufacturing to understand and respond to the Voice of the Customer
Supplemental Responsibilities:
Conduct risk assessments on production and utility equipment utilizing PHA FMEA and other techniques.
May exercise working or leading technical forums and reliability workshops
Present ideas goals and results at departmental plant and network meetings
Experience (What the person will learn):
Key learnings for staff in this role are applications of reliability centered maintenance strategies conditionbased maintenance techniques and good engineering practices data science applications advanced analytics and project management capabilities for Reliability Engineering projects.
Soft skills learnings include Influencing teams Understanding of operations READ framework DAI
Basic Qualifications:
Data Science experience and passion
Engineering Degree
Lean six sigma experience
Reliability knowledge is not required but preferred
Experience in F&E role is not required but preferred
Why is the Position Open Supplement additional workload on team.
Red Flags:
No consultancy background; Manager prefers someone who has been in a practical application role. Train the trainer and has done the work.
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