Process Monitoring and Data Analytics in Parsippany, NJ

Job Title - Process Monitoring and Data Analytics

Location - Parsippany, NJ

Hybrid - Onsite T/W/Th

Working hours: 8-4:30, 8:30-5, 9-5:30 type of hours (most of team works 9-5)

Responsibilities:

• Process Engineer/Validation Engineer having strong background in statistics, process monitoring and advanced statistical data analysis
• Strong background in statistics, process monitoring and advanced statistical data analysis.
• Apply established commercial biologics Continued Process Verification (CPV) program strategies and contribute to CPV program of one or multiple biologics products.
• Author, review and approve CPV protocols, reports and present CPV data as needed to Subject Matter Experts (SMEs).
• Support batch processing data collection and verification activities.
• Identifies and implements improvements for data collection and management to enable quick and reliable data analysis.
• Provides statistical expertise for all global commercial process monitoring in compliance with current ICH / Health Authority, QbD guidelines and SOPs.
• Assist in resolution of investigations doing statistical analysis.
• Works on moderately complex problems where analysis of situations or data requires an in-depth evaluation of various factors.
• Exercises judgment within generally defined practices and policies in selecting statistical methods, techniques and evaluation criteria for obtaining results. 

Knowledge and Skills

• Experience with optimization and statistical data analysis tools such as Minitab, JMP, Spotfire and R. Basic programming in R and Python preferred
• Excellent technical writing skill
• Working knowledge of GMP and regulatory requirements of biopharmaceutical manufacturing is preferred
• Excellent troubleshooting skills and ability to solve complex technical issues.
• Understanding of guidelines required by FDA, EMA, and other regulatory bodies
• Extensive knowledge of industry practices.
• Excellent verbal, written, and interpersonal communication skills are required.
• Ability to effectively manage multiple projects/priorities. 

Education and Work Experience Requirements

• 4+ years of relevant experience and a BS degree in a relevant scientific discipline.
• 2+ years of relevant experience and an MS degree in a relevant scientific discipline.

Must Have:

• Strong background in statistics, process monitoring and advanced statistical data analysis.
• Apply established commercial biologics Continued Process Verification (CPV) program strategies and contribute to CPV program of one or multiple biologics products.
• Support batch processing data collection and verification activities.

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