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A renowned pharmaceutical company is seeking a qualified engineer for a pivotal role in configuring and supporting manufacturing productivity systems. This position offers the opportunity to work with innovative digital products in a hybrid model and leverage expertise in analytics to drive efficiencies. Ideal candidates will possess a strong engineering background and experience in advanced industrial practices, specifically within the pharmaceutical sector.
Employer Industry: Pharmaceutical Manufacturing
Why consider this job opportunity:
- Salary up to $180,500
- Eligible for annual bonuses and long-term incentives
- Comprehensive benefits package including medical, dental, and vision insurance
- Opportunities for career advancement and growth within the organization
- Flexible work arrangements with a hybrid model
- Chance to work on innovative digital products in manufacturing operations
What to Expect (Job Responsibilities):
- Configure the manufacturing productivity system (Seeq based) for various operations
- Update and modify existing manufacturing site configurations based on business needs
- Provide support for the Manufacturing Productivity system and troubleshoot user issues
- Assist with data analysis for manufacturing system integrations and debugging/testing
- Enable effective implementation and adoption of Operation Orchestration applications
What is Required (Qualifications):
- B.S. in Engineering or equivalent technical field with 5+ years of relevant experience
- Demonstrated experience with advanced industrial analytics
- Strong ability to translate business needs to technical requirements
- Proficient in Agile Methodology and Continuous Improvement
- Excellent communication and problem-solving skills
How to Stand Out (Preferred Qualifications):
- Manufacturing expertise, preferably in the pharmaceutical industry
- Expertise in Seeq, including various tools like Seeq Workbench and Seeq Data Lab
- Experience with BI tools such as Microsoft Power BI or Spotfire
- Knowledge of manufacturing systems like MES and PI
#PharmaceuticalManufacturing #BusinessAnalytics #HybridWork #CareerGrowth #DigitalInnovation
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