Reproducible Research Platform for Life Sciences

Webinar | Apr 28, 2020

Modernize Your Statistical Computing Environment

Modernize Your Statistical Computing Environment

In this live webinar, Domino Data Lab’s general manager for Health and Life Sciences will discuss challenges we’ve encountered across global health and life sciences research teams.

Life sciences companies require extensive collaboration across different teams and full reproducibility of data science work to meet regulation and audit needs. Models must be constantly tracked, retrained and iterated on to reflect the constant changes that lead to model drift.

“Domino made it easier for users across the global enterprise, using different tools and with varied backgrounds and skill sets, to work with each other, leverage past work, and collaborate quickly.”

— Naveen Singla, Data Science Center of Excellence lead at Bayer


IP Protection
IP Protection

IP is the most important asset for life sciences companies, which can be at risk when key personnel leave.

Distributed Research Centers
Global Teams

Collaboration among large, distributed research teams with varying skills and tool preferences is complicated.

Strict Regulations

Dealing with sensitive PII requires regulation compliance, full visibility into project contexts, and reproducibility of past experiments.

Benefits for Life Sciences Companies

Centralized Platform
Centralized Platform

Avoid losing valuable IP by putting everything related to life-sciences research—code, data, versions, and results—into one centralized platform while using a wide range of tools and compute infrastructures.

Seamless Collaboration
Seamless Collaboration

Foster collaboration among biostatisticians, chemists, bioinformaticians, project managers, and other stakeholders to accelerate genomics research and drug discovery.

Reproducible Research
Reproducible Research

Test different scenarios through fully reproducible research. Protect sensitive proprietary data while leveraging the latest data science tools to accelerate research development and model delivery.

Trusted Throughout the Life Sciences Industry

Domino lets data science and analysis teams get insights faster, produce better risk models, meet auditing requirements, and reproduce past work. They use it for developing and deploying pricing models, loss models, model-driven claim insights, marketing models calculating customer value and churn predictions, delivering API-accessible risk models, and more.

Climate Corp

Translational bioinformatics team at BMS successfully tests tens of thousands of hypotheses with complete reproducibility to accelerate their fight against cancer.

Seer examines thousands of cancer patients in a clinical trial for better insights and predictions.

Climate Corp scales data science to power precision agriculture.

Make your business model-driven.

Have a question? Feel free to contact us.