Job Description

• 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

• No consultancy background; Manager prefers someone who has been in a practical application role. Train the trainer and has done the work.
• Only wants remote work

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