Build your COVID-19 Research Program with Flywheel and Google Cloud

Apply for COVID-19 research offers and credits from Flywheel and Google

Flywheel has partnered with Google Cloud to provide special pricing and credits for qualified COVID-19 research projects.   

Flywheel streamlines and accelerates your COVID-19 research program with a comprehensive research data management solution for medical imaging and related non-imaging data. Today, Flywheel works with leading global research institutions to manage their medical imaging data (MR, CT, PET, Ultrasound, and others), clinical data, and associated processing for large-scale academic and clinical research. Flywheel enables data collection and de-identification, secure multi-site collaboration, curation and annotation, preprocessing and pipelines, and analysis deployed Google Cloud Platform (GCP). 

Flywheel is offering special pricing and credits for qualified projects, including use of Flywheel on Google Cloud at no cost while longer term funding is being established. Flywheel is also offering services to help speed deployment of your project.

Google is also offering credits for qualified COVID-19 researchers. Google Cloud research credits can be used for most computing services on GCP such as storage, compute, and data analysis, including those related to the deployment of Flywheel’s research data management platform.

To apply, interested researchers should describe their research problem, project timeline, and the GCP tools they intend to use. Applicants must be verified researchers from a commercial, nonprofit, government or academic research institution. Applications will be reviewed on a rolling basis during the COVID-19 pandemic.

Apply for the Flywheel and Google Cloud Platform offering in this interest form.

Flywheel Launches Enterprise-Scale Medical Imaging Solution for Life Sciences

A digital transformation is underway in the Life Sciences and organizations are motivated to reduce R&D costs, improve operational efficiencies and shorten drug development timelines. To be successful, these organizations need to cost-effectively leverage high-quality data for the exploration of new solutions and reuse data collaboratively within data science & research teams. However, traditional R&D infrastructures are insufficient for large-scale data collection, complex data validation, automated quality controls, and scaling processing (and AI) pipelines.

Next-Gen Imaging Research Platform to Drive R&D Efficiency and AI Initiatives

Flywheel offers a scalable research-first platform that can capture imaging and related data from multiple siloed sources, including CROs and historical clinical trials. Flywheel integrates with existing data pipelines and software tools to ingest multi-modal data, and then consolidate, curate, validate, and disseminate that data to analytics and machine learning platforms. With the provenance to support regulatory approvals and scientific reproducibility, Flywheel supports secure collaboration to solve problems with multi-disciplinary teams internal and external to organizations. 

Now with Flywheel for Life Sciences, the solution incorporates new enterprise scaling features that help support the needs of large, global life sciences organizations and their massive volumes of data from diverse sources all over the world. These features include high speed bulk loading, horizontal and vertical scaling, version control deployments and the provenance to support audit readiness.

Cloud-Scale Solution Backed by Professional Services

Flywheel for Life Sciences leverages the full power of modern cloud computing to deliver a fully managed service allowing digital, operations, data, and clinical teams to focus on research and results rather than IT. The Flywheel team partners with life sciences organizations to tailor and deliver a system that meets enterprise requirements and critical schedules.  

“We are excited to launch our Life Sciences solution to streamline and leverage imaging data assets and machine learning workflows, helping organizations increase R&D efficiency and accelerate drug discovery,” said Travis Richardson, Chief Product Officer of Flywheel.

To learn more, please reach out to

Improved Collaborative Workflows with Custom Roles and Permissions

Flywheel is committed to provide customization tools for a secure, collaborative workflow. Previously, Flywheel offered fixed, predefined roles and permissions for administrators to match to site users and project collaborators. Now, administrators can have complete control over user permissions and defining roles for projects using a simple interface.

Tailor Your Workflows With Custom Roles and Permissions

The Custom Roles and Permissions interface enables you to: 

Align the Flywheel system with specific responsibilities of the users. Select user capabilities for project management, access to files and metadata, and computational permissions.

Ensure your workflow is consistent with your organization’s policies. Define roles that ensure your research process follows organizational policies for viewing, modifying, and deleting data.

Implement fine-grained control to prevent unauthorized use and reduce risk. Ensure data integrity by entrusting only specific users with the ability to modify data.

Easily coordinate  on responsibilities in multi-site collaboration. Reflect the permissions collaborators need to have while observing multiple institutional procedures.

Flexible Controls Enable a Variety of Applications

For example, here’s how you might use custom roles and permissions:

  • Data Managers in clinical trials can be restricted from viewing or modifying analyses.
  • A statistician role can be created with permissions to run gears, perform analyses but are restricted from deleting or modifying underlying data.
  • A compliance coordinator role can be created with limited permissions to view metadata and data only to ensure project contents are valid and complete.

Powerful Controls and Easy-to-Use

Custom roles are defined at the site level, enabling consistency in permission sets across the site. Controls over Flywheel permissions include a user’s level of access with data, which data permissions apply to, and other key operations like running analysis or downloading data. 

Creating an "Analyst” role with limited project permissions but has the ability to work with analyses

Research groups may then select from the site’s defined roles for the roles that fit their workflow. Users are assigned a specific role or multiple roles at the project level.

Setting roles at the project level - Note that users can be assigned multiple roles


You may find additional information about setting User Roles & Permissions in our documentation.