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.
Flexible Workflows-+
Flexibility without sacrificing governance
Domino’s unique governance framework and integration capabilities give teams the flexibility to design workflows around their purpose rather than worrying about or feeling constrained by compliance.
Benefits:
- Manage versions of source code natively or sync with external code repositories (e.g., GitHub or GitLab).
- Track team progress using integrated project management capabilities, or sync status seamlessly to Jira.
- Collaborate effortlessly with internal peers, CROs, regulators, and other key stakeholders.
- Use advanced analytics and AI/ML for both biostatistics and research functions on a unified platform.
Governed Access to Data-+
Easy access to data, without compromising security
With Domino, you have access to a wide variety of data sources with stringent protocols in place for data security and governance. The platform simplifies the unblinding process, and clinical study data can be easily used in other analytics and data science workflows.
Benefits:
- Automate the delivery of statistical results by sharing data from other Domino projects.
- Manage data more effectively with integrated version control.
- Share study data with authorized individuals without making copies for other analytics workflows such as safety monitoring and non-study analysis.
- Integrate with established company SSO and LDAP solutions.
- Maintain strict governance and control over sensitive data.
Multilingual Infrastructure-+
Full breadth of analytic infrastructure and tools
Domino supports a wide variety of open-source and commercial tools and languages, including Python, R, and SAS. Your team can keep pace with the ever-expanding set of tools and infrastructure.
Benefits:
- Collaborate with your study team using your preferred language, IDE, and compute infrastructure.
- Use the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
- Configure validated and non-validated workspaces, and allow or restrict use by team or organization.
- Onboard new users faster, attract and retain talent, and upskill teams more effectively.
- Integrate with internal/third-party systems via robust APIs.
Embedded GxP Compliance-+

Accuracy, Traceability, and Reproducibility
Domino provides granular governance without compromising flexibility. It offers out-of-the-box traceability and reproducibility of results in fully audited and versioned job executions, including QC.
Benefits:
- Tell the complete story by viewing the automated audit trail of every job execution in a project, including a comparison of the output before and after the execution.
- Easily view within an immutable audit record, the version of the input data, code, environment, and output data related to a job execution for full traceability.
- Easily demonstrate 100% reproducibility of statistical results, including all artifacts and dependencies, in accordance with health authority requirements.
Flexibility without sacrificing governance
Domino’s unique governance framework and integration capabilities give teams the flexibility to design workflows around their purpose rather than worrying about or feeling constrained by compliance.
Benefits:
- Manage versions of source code natively or sync with external code repositories (e.g., GitHub or GitLab).
- Track team progress using integrated project management capabilities, or sync status seamlessly to Jira.
- Collaborate effortlessly with internal peers, CROs, regulators, and other key stakeholders.
- Use advanced analytics and AI/ML for both biostatistics and research functions on a unified platform.
Easy access to data, without compromising security
With Domino, you have access to a wide variety of data sources with stringent protocols in place for data security and governance. The platform simplifies the unblinding process, and clinical study data can be easily used in other analytics and data science workflows.
Benefits:
- Automate the delivery of statistical results by sharing data from other Domino projects.
- Manage data more effectively with integrated version control.
- Share study data with authorized individuals without making copies for other analytics workflows such as safety monitoring and non-study analysis.
- Integrate with established company SSO and LDAP solutions.
- Maintain strict governance and control over sensitive data.
Full breadth of analytic infrastructure and tools
Domino supports a wide variety of open-source and commercial tools and languages, including Python, R, and SAS. Your team can keep pace with the ever-expanding set of tools and infrastructure.
Benefits:
- Collaborate with your study team using your preferred language, IDE, and compute infrastructure.
- Use the latest open-source algorithms for deep learning and other advanced AI and machine learning techniques.
- Configure validated and non-validated workspaces, and allow or restrict use by team or organization.
- Onboard new users faster, attract and retain talent, and upskill teams more effectively.
- Integrate with internal/third-party systems via robust APIs.

Accuracy, Traceability, and Reproducibility
Domino provides granular governance without compromising flexibility. It offers out-of-the-box traceability and reproducibility of results in fully audited and versioned job executions, including QC.
Benefits:
- Tell the complete story by viewing the automated audit trail of every job execution in a project, including a comparison of the output before and after the execution.
- Easily view within an immutable audit record, the version of the input data, code, environment, and output data related to a job execution for full traceability.
- Easily demonstrate 100% reproducibility of statistical results, including all artifacts and dependencies, in accordance with health authority requirements.




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 studyRecommended Resources
"Before Domino, it could take two to three weeks to understand and spin up infrastructure and then start the work. With Domino, that went from weeks to just a click of a button."
Director of Data Platforms, Pharmaceutical Company
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.