Driving R&D Breakthroughs
Advanced algorithmic techniques will power the next generation of medical research, drug development, and patient care. These innovations will require massive computational power, structure-controlled clinical trial processes, and tight collaboration to build on previous work. Is your R&D infrastructure up to the task?
Domino gives you the power to accelerate exploratory research and modernize statistical analytics in clinical development. It combines support for the tools you’re already using, such as SAS, R, and Python, the latest innovations in open-source, full traceability and reproducibility of statistical results, and self-serve access to highly-scalable resources and all past work.
Some of the world’s largest pharmaceutical companies use Domino to:
- Diagnose diseases sooner and recommend the best treatment option.
- Increase trial enrollment and accelerate drug development by finding participants more efficiently.
- Complete FDA submissions faster and more thoroughly.
Why Domino for life sciences
Finally, the same platform can serve both the pre-clinical to clinical sides of your business. Domino provides the R&D infrastructure you need to take advantage of modern data science and statistical techniques.
Reproducible & Collaborative Research-+

Establish R&D best practices
Domino automatically logs all aspects of research and development in a central place so results are always fully reproducible. You can easily find and build upon past work, and teams can freely collaborate.
Benefits:
- Reproduce prior experiments to test new hypotheses, compound knowledge, and rapidly innovate.
- Collaborate and iterate on results seamlessly with internal peers and external researchers.
- Ensure traceability, and reproducibility of statistical results in compliance with health authority requirements.
Open & Flexible Tools-+

Use your preferred tools
Domino supports multiple open-source and commercial tools and languages, including Python, R, SAS, and MATLAB, within one project. Easily add new tools to future-proof your R&D platform.
Benefits:
- Use deep learning and other advanced techniques to analyze patient data and predict their response to therapy.
- Automate the delivery of statistical results by connecting to other Domino projects and a wide variety of data sources.
- Leverage advanced statistical packages such as Bioconductor for biostatistics.
- Accelerate your migration to the cloud to be more agile, without sacrificing efficacy or safety.
Scalable Infrastructure-+

Get more power on-demand
Domino provides self-service access to powerful and highly scalable infrastructure for the most computationally-intense R&D work. Add multi-node computing and GPUs with just a few clicks.
Benefits:
- Work with massive volumes of structured and unstructured data, including histopathology images, with ease.
- Choose from the most popular distributed compute frameworks, including Spark, Ray, and Dask.
- Eliminate time-consuming DevOps chores to launch GPU-accelerated R&D environments for deep learning and other intense workloads.
Security and Governance-+

Enforce R&D best practices
Domino centralizes research and development on a single, end-to-end platform to eliminate the unsanctioned tools, bespoke hardware, and data movement that slow innovation and cause operational risk.
Benefits:
- Use structure-controlled, GxP-compliant workflows to enhance collaboration and expedite clinical submissions.
- Manage access to sensitive data from a central dashboard to comply with company requirements and federal regulations.
- Integrate seamlessly with internal/third-party systems via robust APIs or external tools such as Git and Jira.

Establish R&D best practices
Domino automatically logs all aspects of research and development in a central place so results are always fully reproducible. You can easily find and build upon past work, and teams can freely collaborate.
Benefits:
- Reproduce prior experiments to test new hypotheses, compound knowledge, and rapidly innovate.
- Collaborate and iterate on results seamlessly with internal peers and external researchers.
- Ensure traceability, and reproducibility of statistical results in compliance with health authority requirements.

Use your preferred tools
Domino supports multiple open-source and commercial tools and languages, including Python, R, SAS, and MATLAB, within one project. Easily add new tools to future-proof your R&D platform.
Benefits:
- Use deep learning and other advanced techniques to analyze patient data and predict their response to therapy.
- Automate the delivery of statistical results by connecting to other Domino projects and a wide variety of data sources.
- Leverage advanced statistical packages such as Bioconductor for biostatistics.
- Accelerate your migration to the cloud to be more agile, without sacrificing efficacy or safety.

Get more power on-demand
Domino provides self-service access to powerful and highly scalable infrastructure for the most computationally-intense R&D work. Add multi-node computing and GPUs with just a few clicks.
Benefits:
- Work with massive volumes of structured and unstructured data, including histopathology images, with ease.
- Choose from the most popular distributed compute frameworks, including Spark, Ray, and Dask.
- Eliminate time-consuming DevOps chores to launch GPU-accelerated R&D environments for deep learning and other intense workloads.

Enforce R&D best practices
Domino centralizes research and development on a single, end-to-end platform to eliminate the unsanctioned tools, bespoke hardware, and data movement that slow innovation and cause operational risk.
Benefits:
- Use structure-controlled, GxP-compliant workflows to enhance collaboration and expedite clinical submissions.
- Manage access to sensitive data from a central dashboard to comply with company requirements and federal regulations.
- Integrate seamlessly with internal/third-party systems via robust APIs or external tools such as Git and Jira.


Delivering Precision Medicine with 10X Faster Development of Deep Learning Models
Learn how Janssen built a unified framework for deep learning and distributed training, using the Domino platform to provide data scientists with self-service infrastructure access to diverse tools, languages, data sets, and scalable compute resulting in 10x faster model training.
Read the Janssen 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 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.