Senior Engineer, MCS​/Manufacturing & Clinical Supply; JP

Overview

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 8:00 AM – 5:00 PM with some flexibility to work remotely.

3 Key Consulting is recruiting a Manufacturing and Clinical Supply/MCS Senior Engineer for a consulting engagement with our direct client, a leading global biotechnology company.

• Responsible for developing and deploying data science-based 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 (DS-DP-FDP) 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, condition-based maintenance techniques, and good engineering practices, data science applications, advanced analytics, and project management capabilities for Reliability Engineering projects.

• 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.
• 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.

• 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, condition-based 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.

• 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.

• 1:1 interview.
• Onsite interview with 1:3-4 people.
• Contact:
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