SINGAPORE
M37
Laboratory Information Management System, Life Science Technology
BIOVIA, Dassault Systèmes supports science-based industries by providing a scientific collaborative environment for advanced biological, chemical and materials experiences.
BIOVIA solutions including molecular modeling & simulation, data science, scientific and laboratory informatics, formulation design, quality & compliance and manufacturing analytics are used by more than 2,000 companies globally.
BIOVIA is committed to help customers drive innovation, increase productivity, improve quality and compliance, reduce costs and accelerate time to market with a comprehensive software portfolio including: Data Science, Molecular Modeling & Simulation, Scientific Informatics, Laboratory Informatics, Formulations Design, Quality & Compliance and Manufacturing Analytics.
Integrating BIOVIA’s strong suite of scientific informatics solutions with the Dassault Systèmes 3DEXPERIENCE® platform creates significant opportunities for BIOVIA to support and develop systemic collaboration, project management, data and content reuse, traceability and other processes, applications and integrations that are critical to science-driven organizations.
BIOVIA solutions including molecular modeling & simulation, data science, scientific and laboratory informatics, formulation design, quality & compliance and manufacturing analytics are used by more than 2,000 companies globally.
BIOVIA is committed to help customers drive innovation, increase productivity, improve quality and compliance, reduce costs and accelerate time to market with a comprehensive software portfolio including: Data Science, Molecular Modeling & Simulation, Scientific Informatics, Laboratory Informatics, Formulations Design, Quality & Compliance and Manufacturing Analytics.
Integrating BIOVIA’s strong suite of scientific informatics solutions with the Dassault Systèmes 3DEXPERIENCE® platform creates significant opportunities for BIOVIA to support and develop systemic collaboration, project management, data and content reuse, traceability and other processes, applications and integrations that are critical to science-driven organizations.
