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    Domino for
    Statistical Computing

    Accelerate the discovery and delivery of novel medicines and vaccines

    Driving Digital Transformation 

    Domino is an innovative Statistical Computing Environment (SCE) that offers language, IDE, and workflow flexibility and tracking – with full traceability and reproducibility.

    The platform includes a robust data-sharing framework for more efficient delivery of statistical analyses for regulatory submissions and other post-hoc analyses and AI/ML workloads.

    Data scientists and statistical programmers at some of the world’s largest pharmaceutical companies use Domino to:

    • Expedite quality regulatory submissions by embedding evidence of QC, traceability, and reproducibility into the workflow.
    • Simplify the unblinding process.
    • Quickly respond to post-hoc analysis requests.
    • Easily develop models and recommendations by combining clinical data with data from sources external to Domino, such as biomarker data, genomics data, etc.

    Why Domino for statistical computing

    Domino makes optimal use of cloud-native technologies to orchestrate the control and governance required for GxP while maintaining the flexibility critical to driving innovation. It allows R&D organizations to unleash the power of data science and advanced analytics across all stages of R&D.

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    Case Study

    Testing Thousands of Hypotheses with an FDA-Qualified Research Platform

    A global biopharmaceutical leader has implemented an FDA-qualified system of record on the Domino platform to streamline its entire research and development pipeline—from drug discovery to laboratory automation to customer analytics—ultimately paving the way toward faster medical advances.

    Read the case study
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    Webinar

    Embracing Flexibility and Innovation to Modernize Clinical Trial Analytics and Reporting

    Join Eileen Ching, Director of Clinical Programming, Research & Development at GSK, and Caroline Phares, Head of Health and Life Sciences at Domino Data Lab, as they reflect on the challenges, lessons learned, and unexpected delights along this journey of digital transformation and modernization of the GSK statistical computing environment (SCE).

    Watch the Webinar

    Recommended Resources

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    How Janssen is Leveraging Data Science to Improve the Trajectory of Human Health

    Dr. Najat Khan – Chief Data Science Officer and Global Head of R&D Strategy & Operations at the Janssen Pharmaceutical Companies of Johnson & Johnson – talks about the impact that data science can have on improving outcomes for patients.

    Blog
    Moving Faster: How Can a Modern Statistical Computing Environment Promote Innovation and Accelerate Clinical Trials?

    The growing acceptance of R for clinical trial submissions provides greater flexibility for pharma companies.

    Learn why Domino is powering digital transformation at many of the world's leading health and life sciences organizations