Data Integration Specialist Intern

Summary

The job is a position in Aizon's Consultant Services team focusing on data integration and systems architecture development. The role involves supporting system integration between the Aizon technology and other pharma manufacturing systems, gathering requirements and functional specifications, overseeing development teams, and identifying opportunities for new business based on training/onboarding experience.

Requirements

• Bachelor’s degree in Information Technology, Software Engineering, Computer Science, or related field
• Low - medium level understanding of coding languages (Python, Java, Javascript)
• Desire to learn and obtain knowledge of Biotechnological Processes (e.g., fermentation, chromatography, viral inactivation), and Pharma Regulations

Responsibilities

• Support systems integration between the Aizon technology and other pharma manufacturing systems
• Help design and implement data management strategies to ensure data integrity, accuracy, and security throughout the integration process
• Support Senior Solution Architects to analyze the needs of our customers, building-specific solutions that fit those requirements, using the tools and algorithms provided by the product developed by our Company
• Be proactive and propose platform improvements to address specific Biotech needs for research labs, OEMs, and Pharma manufacturing

Preferred Qualifications

• Experience with integration of systems and technologies, including Manufacturing Execution Systems (MES), Laboratory Information Management Systems (LIMS), Enterprise Resource Planning (ERP) Systems, Quality Management Systems (QMS), SAP, and SCADA systems
• Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW

Benefits

• Database Management: Comfortable with the use of SQL databases for data storage, retrieval, and manipulation
• Basic understanding of Artificial Intelligence and Machine Learning algorithms
• Previous project management experience is advantageous
• Sound knowledge of various operating systems and databases
• Experience in statistics (regression, ANOVA, distributions, etc.) and data visualization
• Knowledge of data modeling for advanced analytics is valued