Engineer III, Data Management and Analytics, Manufacturing Sciences

at  Biogen

Job Description

Qualifications

• Master’s degree in Computer Science or engineering discipline with min 3 years of related industry experience, or a Bachelors in the same area with min 5 years of industry experience.
• Prior gained experience with data analytics platforms and visualization tools (such as Statistica, Alteryx, SIMCA-Online, Discoverant, Tableau, Spotfire or others)
• Experience with database design using tools such as MS SQL Server, mySQL, or others and understanding of the Extract, Transform, Load (ETL) data integration process.
• Statistical programming experience with languages such as Python, R/Shinny, etc. is a plus.
• Working understanding of automation and enterprise systems such as OSIsoft PI, Delta V, SynTQ, Syncade is a plus.
• Previous experience working in the Biotech/Pharma industry in a GxP environment is a plus

ABOUT THE ROLE AS ENGINEER III, DATA MANAGEMENT AND ANALYTICS, MANUFACTURING SCIENCE:

The Applied Analytics & Operations (AAO) Team provides on-going data systems and analytics support of our manufacturing processes across the global internal/external network. The primary responsibilities of this organization are to deploy and maintain robust data systems that enable end users to monitor process conditions through multivariate analysis, data aggregation and visualization to empower process trending and continued process verification, compliance with respect to data integrity and trending methods, and analytics support of root cause investigations and continual improvement efforts. These data analytic capabilities are considered critical by the GMS and manufacturing organizations and support all product modalities across the organization.
This role in the Applied Analytics & Operations (AAO) team is responsible for delivering best-in-class GxP manufacturing process monitoring solutions for our manufacturing facilities.
The specific job responsibilities include:
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Support the development of Extract, Transform, Load (ETL) data flows to build GxP datasets and data visualization solutions for customers across the Global Manufacturing Sciences group.

• Support the development of real-time, multivariate models, engaging with process scientists to define requirements and continuously improve and refine modeling approach. Partner with site automation teams to ensure robust recipe triggers and data flow, as well as validation of GxP process models.
• Partner with the Information Technology and Site Automation teams to continuously improve Biogen platform tools and enhance the user experience.
• Develop and maintain data visualization reports and may build and deploy multivariate models for use in GMP manufacturing.
• Provide routine training to manufacturing teams and support organizations on usage of data tools (SIMCA-online, Statistica, Tableau) as well as design of eLearning modules.
• Maintain data sets and troubleshoot data gaps and discrepancies using SQL exploration of data source systems

WHAT YOU’LL DO:

• Configure and maintains compliant trending system (e.g. Statistica, Discoverant) to ensure data is easily assessable and accurate.

• Collaborate with MS SMEs in data-driven improvement activities and develop digital solutions to enhance manufacturing processes overall efficiency and productivity.

• Develop and maintain multivariate models (e.g. SIMCA Online) for use in GMP manufacturing.
• Support data models through life cycle management process.
• Manage the assignment of data entry activities and provide leadership to the data entry team, addressing their queries and feedback.
• Provide training as appropriate on data analytics systems.

Qualifications

• Master’s degree in Computer Science or engineering discipline with min 3 years of related industry experience, or a Bachelors in the same area with min 5 years of industry experience.
• Prior gained experience with data analytics platforms and visualization tools (such as Statistica, Alteryx, SIMCA-Online, Discoverant, Tableau, Spotfire or others)
• Experience with database design using tools such as MS SQL Server, mySQL, or others and understanding of the Extract, Transform, Load (ETL) data integration process.
• Statistical programming experience with languages such as Python, R/Shinny, etc. is a plus.
• Working understanding of automation and enterprise systems such as OSIsoft PI, Delta V, SynTQ, Syncade is a plus.
• Previous experience working in the Biotech/Pharma industry in a GxP environment is a plus.

Additional Information