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The Process Scientist will conduct investigations related to upstream unit operations in biologics manufacturing. Responsibilities include developing experimental protocols using Design of Experiments, root cause analysis of process deviations, contributing to knowledge reports, and maintaining accurate documentation. Communication and teamwork are essential.

The Supervisor, Document Control position involves managing a team responsible for maintaining and revising documentation systems, preparing reports for management, ensuring compliance, training staff, and coordinating document requests during regulatory inspections. The role emphasizes quality, organization, and leadership.

The Senior Specialist, Global Procurement supports procurement initiatives in Regulatory Affairs & Health Economics by conducting data analysis, assisting in cost savings, and managing vendor sourcing activities. Responsibilities include the RFx process, contract negotiations, and overseeing supplier performance. This role also involves using tools for spend analysis and ensuring compliance with procurement policies.

As a Working Student in Commercial Operations at Regeneron, you will support the creation and maintenance of visual reports and dashboards, integrate and prepare data for visualization, collaborate with sales teams for customized solutions, and assist in developing automated workflows to optimize processes.

The IT Applications Analyst is responsible for configuring, implementing, and maintaining MES, supporting users, coordinating with departments, providing documentation, ensuring compliance during inspections, and performing data analysis using Oracle tools.

The Sr. Principal IT Engineer will lead the design, engineering, deployment, governance, and support of the Regeneron SSDLC framework. Responsibilities include managing SSDLC solutions, aligning with NIST Cyber Security standards, overseeing security integration during software development, and serving as a point of contact for the onsite IT team. The role also involves collaboration on budget preparation, assessing vulnerabilities, and providing reporting metrics on SSDLC tools.

The Lead Data Engineer will integrate and analyze diverse biological, clinical, and imaging datasets in drug discovery research, design AI models aligned with scientific hypotheses, and collaborate with cross-functional teams while using agile project management principles to drive progress.