To discuss more about this job opportunity, please reach out to Deepak Arya (LinkedIn URL - www.linkedin.com/in/deepak-arya-8a79aa22a/), email your updated resume at Email - deepak.arya@collabera.com or give me a call at (425)-298-1474. Thank you!

Pay rate: $30 - $35/hr.

Industry: Biopharmaceutical 

Key Responsibilities: 

• Continued Process Verification (CPV) and JMP software experience is a must. 
• Works collaboratively with Process Engineers and Statisticians in Global Manufacturing Sciences and Technology (GMSAT), Statistical Sciences & Analytics (SS&A) team to meet project deliverables and timelines to author and approve Continued Process Verification (CPV) related reports, such as Process Monitoring Reports (PMR) and Annual Product Reviews (APR).  
• Performs Data Verification requirements per Client’s Standard Operating Procedures (SOP), e.g., reproduces all CPV statistical output using JMP scripts, reviews documents for data and information accuracy, notifies author of errors and ensures corrections are made prior to approval and completes sign offs in QMS.  
• Assists with report authoring by populating graphs, tables and attachments in Word templates and identifying deviations using QMS.  
• Extracts and transforms data from excel or databases, as needed.  
• Attends and participates in regular meetings to review and track report progress.  
• Assists with the preparations for bi-monthly Process Monitoring Tier 4 meetings, attends meetings and takes meeting minutes.  
• Must be able to effectively communicate and possess good problem solving as well as people/project leadership skills. 

Requirements and Preferred Qualifications: 

• BS degree with 5 years or MS degree with 3 years of technical experience in biologics / biopharma, high-tech industry.
• BS or MS degree in Data Analytics, Data Science, Applied Statistics or Applied Math, preferred.
• Proficient in SQL, SAS or equivalent for data extraction and transcription.
• Proficient in JMP, SAS or equivalent for statistical analyses and familiar with Statistical Quality Control techniques, e.g., SPC and Process Capability. 
• Knowledge of python code for report generation. 
• Proficient in Word and Excel