Job Details

Seeking a highly motivated process analytics engineer who will be closely working with engineers and scientists in Manufacturing Science & Technology Process group to develop advanced multivariate analysis models.

Key Deliverables:

• Develop models for real-time multivariate process monitoring
• Maintain the existing modeling platforms
• Develop advanced data analytics methods to transform manufacturing/lab data into actionable proactive insights
• Do data engineering, data analysis, data visualization, modeling and prediction

• Bachelor with 5+ years of direct work experience, or Master with 3+ years of direct work experience, or PhD, in engineering or science (preferably in process engineering or chemical engineering)
• Background in Biologics, Chemical Engineering is required
• Knowledge of Data Science and Statistics, specifically Multivariate Analysis techniques is required
• Knowledge of Statistical Process Control
• Understanding of Process Flow Diagram (PFD) or Process and Instrumentation Diagram (P&ID)
• Experience with modeling tools such as SIMCA or Matlab is required
• Experience with Python (specifically Pandas library) is required
• Experience with statistical analysis using Excel or JMP
• Strong communication skills: Oral/Written

• Experience in one or more of the following advanced data analytics skills: Chemometrics, Process Analytics Technology (PAT), Clustering, Classification, Regression, Principle Component Analysis (PCA), Partial Least Squares (PLS), Machine Learning, Neural Network
• Experience with manufacturing process time series data, images, and spectra data.
• Technical knowledge of biologics manufacturing operations such as cell culture, recovery, and purification
• Experience with OSI PI (PI Historian, PI Process Book)
• Experience with Discoverant
• Experience with time series analysis tools such as Seeq