Caroline Neyt

Caroline Neyt

Principal Database Designer Global Librarian @ Bristol Myers Squibb

About Caroline Neyt

Caroline Neyt is the Principal Database Designer and Global Librarian at Bristol-Myers Squibb, with extensive experience in clinical data management and a diverse professional background.

Company

Caroline Neyt is currently associated with Bristol-Myers Squibb, where she holds the position of Principal Database Designer - Global Librarian. She has been with the company for over six years, contributing significantly to her area of expertise.

Title

Caroline Neyt is the Principal Database Designer and Global Librarian at Bristol-Myers Squibb. In this role, she plays a crucial part in overseeing database design and managing global data libraries, leveraging her extensive experience in clinical data management.

Professional Experience

Caroline Neyt has a rich professional background filled with varied roles. Before her current role at Bristol-Myers Squibb, she served as Protocol Data Manager in New York. Her earlier roles include being a Project Clinical Data Manager at IDDI for six years, a Senior Clinical Data Manager at UCB for five years, and a Satellite Picture Analyst at Eurosense. She also worked as an Account Manager at the European School of Brussels and a Scientific Consultant for the Region of Bruxelles-Capitale.

Education and Expertise

Caroline Neyt holds a Master's degree from Université Libre de Bruxelles, which she completed over five years from 1995 to 2000. Her educational qualifications laid the foundation for her extensive career in clinical data management and database design. She brings a wealth of expertise to her current and past roles.

Background in Clinical Data Management

Throughout her career, Caroline Neyt has accumulated extensive experience in clinical data management. She has held roles such as Senior Clinical Data Manager at UCB, Project Clinical Data Manager at IDDI, and Protocol Data Manager at Bristol-Myers Squibb. Her background reflects a deep understanding of clinical data processes and management.

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