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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Develop and support new and current Analytics solutions, using tools such as PowerBI, Spotfire, and SQL. Support the development of any AD HOC Analytics and Reporting solutions in a rapid mannerBecome a subject matter expert (SME) on the current R&D Quality Data Domain in our Data Science and Analytics projects.
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Candidate must be currently enrolled in a BS or MS program in one of the following areas: Supply Chain/Logistics, Pharmacy, Bioengineering, Biomedical Engineering, Biotechnology, Chemical Engineering, Industrial Engineering, Mechanical Engineering, Material Science and Engineering, Business Analytics.
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Prior experience with data science software and statistical analysis is a plus, e.g., JMP, Spotfire, PI Process Book. Statistical data analysis and results/conclusion presentation.
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The Product Analysist will act as a bridge between business challenges and technology solutions, will work under the leadership of the product manager, and will maintain a close relationship with a network of global platforms and teams across Manufacturing and Digital Manufacturing, ranging from site engineering and automation teams, global team supporting the CMC continuum, and digital functions spanning data engineering, data science, software engineering, and architecture.
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BS in life science (e.g., Chemistry, biology, microbiology, immunology, virology, etc.) Support proactive process monitoring through assay and process data collection, GMP laboratory experiments (e.g., viral growth curves), etc.
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This role specifically will serve as product analyst for the new product in development by the MPI team, aiming to provide “access to data for investigations in 3 clicks or less”. The Process Data & Analysis team within Digital Manufacturing aims to enable integrated access to all shopfloor data by working with product teams across the enterprise and strategic initiatives.
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Must have excellent communication, documentation, and interpersonal skills; as well as strength in data analysis/interpretation, and the ability to exercise scientific judgment for real-time decision-making.
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Experience with analytical chemistry, instrumental analysis, data compilation and knowledge of cGMP required. Bachelor’s Degree in a physical science is preferred. The Analyst I is responsible for analyzing manufactured products per item specification using analytical methods and procedures under the oversight of a fully trained QC Analyst II or Shift Lead.
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Operate lab scale stainless steel bioreactors and ensure smooth fermentation processes via DeltaV and DCU automation systems for efficient bioreactor control. Core Responsibilities – Upstream Microbial Process Development Engineer, Cell Culture & Fermentation Sciences.
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