Genedata Profiler® streamlines the harmonization, integration, management, and analysis of multi-omics, biomarker, clinical, and phenotypic data. It enables multidisciplinary collaboration in a secure, high-performance, validation-ready environment.
Uncover valuable and actionable scientific insights hidden in your translational and clinical research data.
A secure, scalable and modular software as the single source of truth for all translational and clinical research data.
An expert team of data scientists, informaticians, bioinformaticians, and implementation experts ready to support your organization.
Learn how global biopharma and research companies leverage Genedata Profiler to realize their vision of precision medicine.
Working closely with Genedata, we have generated a digital biomarker research platform that will enable Merck scientists to better utilize clinical and translational data to generate innovative ideas for new biomarkers and drug targets.
Joern Peter Halle
Head of Immuno-oncology and External Innovation
To support our vision of transforming cancer treatment, we are excited to implement the Genedata Biopharma Platform as a central integrated data backbone to streamline the capture, integration, democratization, and analysis of increasingly complex and diverse data types across Genmab’s discovery and clinical workflows.
Hisham Hamadeh, Ph.D.
Vice President, Global Head of Data Sciences
We are pleased to have found a reliable partner who provided us with expert knowledge in big multi-omics data analysis to accelerate our search for precision biomarkers to prognosticate disease course and to guide early and effective personalized treatment decisions.
Andrés Hurtado-Lorenzo, Ph.D.
Senior Director of Translational Research
Crohn’s & Colitis Foundation
We chose Genedata Profiler because it is the end-to-end enterprise software able to harmonize our dispersed data analysis pipelines, enhancing our capacity to analyze large amounts of high-dimensional ‘omics data emerging from our rapidly growing number of translational and clinical research projects.
Department Manager of Clinical Pharmacology
As we expect our clinical and pre-clinical programs and pipeline to continue to grow, we look forward to utilizing Genedata Profiler and Genedata Managed IT Services to assist us in our mission to develop safe, targeted, effective therapeutics for cancer patients.
John de Kruif, Ph.D.
Chief Technology Officer
With ready-to-use and fully configurable workflows, you can easily import, integrate, and harmonize your molecular and clinical data—from any source. Manage all your data in one place to provide the single point of truth for multidisciplinary teams. Quickly find and access the right datasets within or across studies, then analyze and visualize them using your favorite analysis tool.
Benefit from full data governance and fine-grained access control. Always know how you produced results, from raw data to reporting. Ensure data integrity and privacy, fulfill regulatory requirements when working with sensitive patient data.
Genedata Profiler. High Performance. Holistic. Secure. Validation Ready.
Software implementation is effortless when you have a trusted partner on your side. With successful deployments of Genedata Profiler at leading pharma companies, we are experts in efficient and effective implementations.
We support you all the way, starting with the analysis of your complex data workflows, the integration of Genedata Profiler into your existing IT environment, and training your scientists to make valuable discoveries from day one.
If you require a specific software feature or need help with software validation, Genedata is here for you. Always.
Do you lack internal resources or need help analyzing large datasets? Our Data Science Services offering is the perfect solution that enables you to make data-informed decisions on a per-project basis, eliminating the need to setup your own data infrastructure or hire data scientists.
Or are you already using Genedata Profiler, and need support in implementing cutting-edge data analysis methods? Our expert team of data scientists, bioinformaticians, statisticians, and biologists work side by side with you to integrate clinical, biomarker, and multi-omics data. An agile, intensive scientific collaboration tailored to your needs will help you to quickly achieve your scientific goals.