Process Analytics Engineer

We are looking for

• 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.

• Required 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, Principal Component Analysis (PCA), Partial Least Squares (PLS), Machine Learning, Neural Network, etc.
• 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 ProcessBook).
• Experience with Discoverant.
• Experience with time series analysis tools such as Seeq.