From concept to design and development, clinical trials, governance, manufacturing and after sales services, our solutions enable you to address your challenges and improve your competitiveness

BioPharma companies need a scientific management environment that can help discover, connect and bring to market biological, chemical and pharmaceutical innovations to improve the way we live.

The Dassault Systemes Life Sciences offerings, including Medidata and Biovia,  focus on the end-to-end integration of the diversity of science, experimental processes and information requirements across research, development, QA/QC and manufacturing. Other  areas of coverage include Scientific Informatics, Clinical Trial Operations, Molecular Modeling/Simulation, Data Science, Laboratory Informatics, Formulation Design, BioPharma Quality & Compliance and Manufacturing Analytics.

Dassault Systèmes Life Sciences has a deep understanding of the challenges facing pharmaceutical and biotech companies and is committed to helping you advance the pace of discovery of new drugs and medicines. The BioPharma solution areas for Biovia include:

Research & Development
Designed to Cure enables therapeutic delivery, the prediction of critical design and manufacturability characteristics and delivers an integrated, comprehensive and rational drug development approach through virtual design, collaboration and knowledge driven innovation.

Unified Laboratory Operations Management
ONE Lab integrates people, resources, processes, data and interfaces for improved efficiency and collaboration, reducing redundant work and providing faster insight to get to your desired outcome.

Made to Cure for BioPharma is the only comprehensive industry solution using performance data from process development and production runs to aggregate, contextualize and analyze quality and process data in a validated environment reducing time to market and manufacturing variability.

Quality and Compliance
License to Cure for BioPharma provides digital continuity for organizations to manage the complexity of an ever increasing number of medicinal products with a single version of the truth based on IDMP standards and enables change impact analysis, informed decision making and full IP reuse to deliver quality best practices shifting the paradigm of regulatory as a constraint to regulatory as an asset.



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.

Digitizing Scientific Innovation
In today’s experience economy, the capability to develop, simulate and produce breakthrough experiences at the molecular level delivers transformational value for enterprises of all industries. 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.

BIOVIA offers a comprehensive collection of solutions to support the development, maintenance and deployment of data science solutions. Lower the barrier to Artificial Intelligence with our prebuilt Machine Learning architectures or easily integrate your own from 3rd party tools such as Python and R. Expand the use and reuse of data, democratize advanced techniques and foster a knowledge-driven culture.

BIOVIA Pipeline Pilot enables scientists to rapidly create, test and publish data science solutions that automate accessing, processing, modeling and reporting scientific data in a graphically-based, code-free environment. Additional libraries of out-of-the-box capabilities can also operationalize advanced scientific analyses and machine learning as enterprise tools.

BIOVIA modeling and simulation software allows scientists to perform computations of chemical, biological and materials properties; to simulate, visualize and analyze chemical and biological systems; and to communicate the results to other scientists. Scientists can investigate and test hypotheses in silico prior to costly experimentation, reducing the time and expense involved in bringing products to market.

BIOVIA Discovery Studio life science modeling and simulation application supports in silico target identification and lead optimization using a wealth of trusted life science modeling and simulation methods.

BIOVIA modeling and simulation software allows scientists to create better performing, safer and more cost-effective products by connecting the virtual and real worlds to test concepts with minimum risk and lower costs.

BIOVIA Materials Studio materials modeling and simulation application helps researchers predict and connect a material’s atomic and molecular structure with its properties and behavior.

BIOVIA’s solutions for Scientific Informatics are purpose-built to capture, store, manage and mine scientific data and information both on premises and in the cloud. Through this combined portfolio, we provide comprehensive data visualization and analysis software enabling scientists to convert raw data into actionable insight.

BIOVIA ScienceCloud is a scalable cloud solution that supports collaboration across research, development and quality control, providing a secure, unified environment for informatics solutions from BIOVIA.

The BIOVIA Unified Lab offers research, development, analytical and QA/QC laboratories a unique opportunity to remove paper processes and better support end-to-end analytical and process workflows. Unified, harmonized and standardized laboratory/resource management and procedure execution can help achieve your business goals by improving collaborative innovation, increasing productivity, reducing regulatory compliance and safety risk and accelerating time to market.

BIOVIA Workbook is a multi-disciplinary electronic lab notebook (ELN) for documenting and managing the flow of information, tasks and materials within and between labs, with authoring and workflow support.

BIOVIA Notebook, an easy-to-deploy, easy-to-use ELN is for organizations focused on intellectual property capture and information sharing, process documentation and overall lower total cost of ownership.

BIOVIA CISPro is a chemical inventory management system that makes current, real-time chemical safety and inventory data available on-demand, helping to drive the safe handling, storage and management of chemicals and other inventory materials.

BIOVIA supports the entire manufacturing process lifecycle from process development through scale-up and tech transfer to final production by allowing customers to leverage their process and quality data to maximize efficiency, product quality and yield while meeting regulatory requirements and reducing costs in production processes.

BIOVIA Discoverant is an enterprise-level, validation-ready system for process and quality data access, aggregation, contextualization, analysis and reporting. It enables the design of robust GMP processes and provides immediate visibility into process performance, quality and compliance risk, as well as improved understanding and control of process and product variability.

QUMAS is a fully integrated cloud-based solution for managing quality data, documents and processes to achieve Compliance, Quality and Operational Excellence throughout the product lifecycle. The core of this offering is QUMAS EDMS for Quality Document and Content Management and QUMAS EQMS for Quality Process Management. This integrated solution allows organizations to automate quality processes, promote data integrity, reduce compliance risks and enhance quality. Customers can expand the capabilities with search and analytics capabilities for Quality content, providing true end-to-end control and visibility.

  • QUMAS EDMS: A cloud-based Electronic Document Management System for data-centric documentation and content management that delivers proven regulatory compliance practices for data and document control and related training across the business.
  • QUMAS EQMS: A cloud-based solution for Enterprise Quality and Quality Process Management that enables organizations to standardize and automate business processes that manage the collection, tracking and analysis of information and the resolution of related issues.


Dassault Systèmes Americas

175 Wyman St.

Waltham, MA 02451

Phone: 732-841-8497

Contact: Brendan Spiegel


  • The diversity of the pathogens implicated in NTDs, the relative complexity of their life cycles and their poor tractability in the lab have resulted in a lack of potential therapeutic targets and candidates. By repurposing existing high throughput screening (HTS) data for Ebola and Chagas Disease to create machine learning models which could screen libraries for potential active compounds, especially compounds previously approved by the US FDA for other diseases, they were able to provide safe and efficacious treatments for those who need them most.

  • A multinational pharmaceutical company with world-wide commercial operations provides contract manufacturing, product development and clinical services to third-party customers. Geographically-dispersed and disconnected business units demanded virtual collaborations that were not easy to support, and many processes throughout the company were manual and disconnected, hindering productivity and collaboration. The company implemented a solution to enable them to deliver high quality, compliant products in an efficient manner.

  • A leading organization in small molecule therapies was facing a challenge in ensuring consistent CPV initiatives across their different manufacturing sites was maintaining a uniform standard of data in their manufacturing analytics. A software solution that was purpose-built for biopharmaceutical manufacturing provided a strong foundation to streamline the validation of manufacturing analytics for CPV and reporting.

  • Developing the proper formulation of active ingredients (APIs) and excipients is almost as important in designing a new therapeutic as the APIs themselves. Sanofi’s challenge was removing the formulations bottleneck in its pharmaceutical development workflow by improving its autoxidation risk assessments of potential formulations. By implementing BIOVIA Materials Studio they were able to removed the need for “trial-and-error” driven experiments and maximized the value of scientists’ time.

  • Data gathering was difficult for an emerging specialty pharmaceutical company, as data resided in paper-based documents, spreadsheets and complex equipment systems. Being unable to garner insights from the data for impactful decisions drove them to seek a solution that could accelerate data aggregation, modeling and prediction.


  • Learn how having the right predictive sciences capabilities integrated into R&D work flows delivers a scientific decision support environment that reduces time and expense, improves quality, enhances collaboration and accelerates innovation in bringing new drugs to market.

  • To ensure that a commercial biomanufacturing process is in a state of control, life science companies must create and successfully execute initiatives to meet continued process verification (CPV) and other monitoring guidelines. Learn how to navigate the major steps of implementing a global monitoring plan for continued process verification.

  • Chemical inventory management processes that have not been optimized with technology and best practices can negatively affect operational effectiveness and efficiency. A real-time chemical inventory management system increases the organization’s efficiency and productivity by: consolidating the resources needed for inventory reporting, MSDS management and inventory management; reducing chemical purchase, storage and disposal costs; and, most importantly, providing greater operational efficiency in the laboratory.

  • Laboratory organizations need an environment that facilitates and optimizes collaboration, experiment execution, documentation and data management in the different labs from R&D through manufacturing to commercialization. By implementing a digital lab solution you can bridge the innovation and productivity gaps in research, development, manufacturing and quality, and enable successful technology transfer across new product development and production operations.

  • Many research organizations are facing a maelstrom of increasing regulation concerning on-site chemicals and an ever-growing volume of chemical-related data to manage and report. Chemical inventory management can be time-consuming; it can hamper workflows; and – worst of all – it can trigger numerous non-compliance determinations. This guide presents a best practices solution to this dilemma; e.g., how to compare and select a digital chemical inventory management system that streamlines workflows  throughout the organization and brings chemical inventory under control.


  • Despite advances in technology that have improved the productivity, performance and predictability of scientific work in laboratories, data compatibility problems like this persist. Systems, applications and devices lack a standard way to share information with each other. An informatics platform that offers software-automated, standardized instrument integration services solution is available.

  • In today’s competitive environment it is the objective of all life science manufacturing companies to minimize the risks of compliance non-conformance and the significant associated post-event costs. Organizations can avoid these risks with systems that include the procedures for QC lab testing with the according specifications, and that can enforce their execution. Read how technology advances can provide an assured procedural compliance “execution” process that can be applied to any defined workflow.

  • When it comes to drug discovery and development, employing these technologies has become an existential challenge for the pharmaceutical industry. So how can these technologies help the pharmaceutical companies reduce the staggering expense and amount of time it takes to develop new therapeutics, getting there sooner, with less compounds needing to be tested and proved? AI & Machine Learning (ML) are deployed to explore potential drug candidates faster, able to meet a particular target product profile.

  • Enhancing project management with analytics creates project intelligence, shifting a task-based activity to a performance-driven one. This article discusses the importance of using actionable insights within pharmaceutical and biotech industries and the benefits that they provide.

  • Larger pharma organization have evolved into hierarchical silos due to a combination of legacy organizational structures, mergers and acquisitions, and lack of a holisitic approach to innovation.