Cloud Life SciencesBeta

Process, analyze, and annotate genomics and biomedical data at scale using containerized workflows.

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From Genomics to Life Sciences

Cloud Life Sciences enables the life sciences community to process biomedical data at scale. Cost effective and supported by a growing partner ecosystem, Cloud Life Sciences lets you focus on analyzing data and reproducing results while Google Cloud takes care of the rest.
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For life sciences and academic research institutions

Bioinformaticians, build what you want, not just what you need, using open standards. Researchers, speed up your research, ask new questions, and share data in a secure online environment. IT professionals, rest easy knowing you have the resources you need to meet computational demand, secure data, and ensure system reliability.

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Support for top workflow engines

Many of the popular workflow engines run on Google Cloud so you can continue to use the tools you already know, including Cromwell, dsub, Galaxy, Nextflow, and Snakemake.

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Growing ecosystem of partners

Google Cloud is at the heart of several life science platforms so you can focus on your work and leave the rest to the experts, including platform, service, and support partners.

Explore Life Sciences partners

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Data sharing that makes sense

Your data is valuable to the life sciences community. With Google Cloud, you can better manage access and usage of your data by hosting it in a storage bucket where operations, network, and retrieval costs are easily billed to your clients.

Learn how to set up Requester Pays buckets

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Information security and compliance

Google Cloud infrastructure provides reliable information security designed to meet or exceed the requirements of HIPAA and protected health information. Covered by our HIPAA Business Associates Agreement and available via FedRAMP ATO for the National Cancer Institute Cancer Cloud Pilots.

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From raw data to robust analysis with Variant Transforms

Variant Transforms is an open source tool for loading and transforming raw VCF data for use in advanced analytics. Use Variant Transforms to load massive amounts of raw VCF data, validate it for inconsistencies, and then transform it into BigQuery for access to ML and powerful analysis.


Cost-optimized compute

Google Cloud’s Healthcare and Life Sciences team has optimized the most popular methods—like GATK, DeepVariant, and Sentieon—to run on Google Cloud.

Flexible machine sizes

Take advantage of Compute Engine, our infrastructure as a service (IaaS), to run large-scale workloads on virtual machines and pay only for what you use.

Built for batch processing

Preemptible VMs for affordable batch processing on fault-tolerant workloads to save you time and money.

Fully integrated with Google Cloud

Experience the power of Google Cloud’s infrastructure with fast virtual machines, scalable storage, serverless data warehouses, and fully managed databases with Google Cloud integration with tools like Cloud Spanner and BigQuery.

Open and interoperable

Use the tools and workflows you already know and enjoy support for open industry standards like Global Alliance for Genomics and Health.

Ready for AI/ML

Enrich your data with public datasets and analytics from across Google and Google Cloud.

Cloud Life Sciences in action

Cloud Life Sciences architecture diagram: Docker Image Repos flows into Google Cloud Workflow Manager / Compute Engine and Life Sciences’ Pipelines/Life Sciences. A dotted arrow also flows from Workflow Manager / Compute Engine and from Cloud IAM to Pipelines/Life Sciences. Below this workflow, DNA Seq flows into Raw Seq Data / Cloud Storage, which flows to Compute Nodes / Compute Engine and then on to Output Storage/Cloud Storage. Persistent Disk, Container Optimized OS, and GPU have dotted lines to Compute Nodes / Compute Engine, and there is a 2-way arrow between that and Pipelines/Life Sciences.
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"Google Cloud gives us the infrastructure to scale and quickly process a huge amount of data. No other cloud provider comes close."

Henrik Gehrmann, Head of Engineering, Clear Labs

Read story


Google Cloud offers a variety of partnerships with Cloud Life Sciences expertise so our customers can focus on their work and not their infrastructure.


Cloud Life Sciences does not charge for API use. Other cloud resources consumed while using Cloud Life Sciences are billed at the standard rates.

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This product is in beta. Learn more about product launch stages.