Scientific Manager Manufacturing Intelligence
vor 9 Stunden
Your Role:
In your role as Scientific Manager Manufacturing Intelligence, you will manage global projects to implement scientific data management at our Global Pharmaceutical Manufacturing Sites, focusing on advancing technologies and enhancing operations. You will gather and analyze business requirements related to data management and analysis, translating them into a clear implementation strategy. Collaboration will be key as you work closely with stakeholders, including IT, Scientific Experts, Technical Project Managers, and Quality functions across internal and external pharmaceutical manufacturing sites in Europe, Latin America, and Asia.
You will ensure compliance of scientific data management systems by driving the validation strategy to maintain system integrity, defining test protocols, and providing assistance in testing as needed. Additionally, you will establish training requirements to ensure team proficiency, draft guidelines, SOPs, and change control documents to standardize processes, and proactively manage validation strategies across multiple locations and disciplines. You will also identify opportunities to leverage data science and new IT technologies for operational improvements.
Additionally, you will manage and participate in international, cross-functional teams focused on enhancing processes and analytical methods in manufacturing. Serving as a global point of contact for consultancy and support, you will collaborate with related business units within Global Pharma Manufacturing. You will cultivate knowledge and train best practices in data analytics, statistics, and scientific data management, applying advanced methods of data analysis and statistics to drive improvements in manufacturing and analytics business processes.
Who you are:
• Industry experience in pharma, chemical, or other process industries: more than 5 years
• Strong project manager who efficiently manages projects with complex scheduling and multi-stage implementation
• Mastery of Computer System Validation and Change Control within Pharmaceutical Manufacturing
• General knowledge of Pharmaceutical Technology, Analytical Technology, Pharmaceutical Manufacturing, Quality Control, and Regulatory Requirements
• Ability to present professionally in front of a senior business audience
• Expertise in Data Science and Statistics, Process Analytics, and IT software for Data Science and Statistics
• Experience with Process Improvement and Lean Six Sigma methodologies
• Ability to work well in an international environment with colleagues from diverse backgrounds
Expert 3
HC-GM-GGP Global Pharma Technology
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