Skip to main content

AWS HealthOmics

Drug Discovery

Accelerate early-stage therapeutic research with managed high performance compute (HPC) and model orchestration

Get Started

What is HealthOmics for Drug Discovery?

AWS HealthOmics for drug discovery is a HIPAA-eligible service that helps researchers rapidly experiment with biological foundation models (bioFMs) and bioinformatics workflows. HealthOmics handles the complex infrastructure automatically, so your research teams can focus on discovering breakthrough therapies instead of managing compute resources.

Additionally, customers can experiment with cutting-edge models like AlphaFold and ESMFold, and NVIDIA’s BioNeMo foundation models, while providing the scalability to rapidly transition from prototype to production-scale drug discovery pipelines processing millions of potential therapeutic candidates.

Key Benefits

Run the latest bioFMs and machine learning algorithms in a
single location, enabling rapid experimentation with protein folding, molecular design, and drug-target interaction prediction.

Customize best-practice workflows and algorithms to your
specific assays, targets, and research objectives using industry-standard workflow languages (WDL, Nextflow, CWL).

Track and reproduce every prediction with full provenance of
the specific configurations, parameters, and model versions that generated each result—critical for regulatory submissions and research reproducibility.

Seamlessly transition from testing new approaches to running
production pipelines at scale, processing millions or billions of predictions without infrastructure bottlenecks.

Key Features

Process genomics, proteomics, and clinical trial data at
scale to identify new drug targets and validate therapeutic hypotheses across diverse biological datasets.

Automatically provision and coordinate workflow engines,
models, and compute resources without manual configuration, ensuring your research pipelines run reliably at any scale.

Automatically scale for computationally intensive tasks like
molecular dynamics simulations and large-scale virtual screening.

Build workflows using APIs designed for both programmatic
access and interactive research environments. 

Customer references

Amgen

Amgen unified their R&D workflows with AWS HealthOmics
to enhance biological research and drug development, improving reproducibility and security while streamlining collaboration across their global organization. 

Read the full case study

Roche

Roche accelerated their cancer research analysis from one
year to just three months using AWS HealthOmics to automate bioinformatics workflows and eliminate infrastructure complexity.  

Read the full case study

Merck

Merck has accelerated drug discovery by modernizing their
generative biology inference stack with AWS HealthOmics to rapidly experiment with biological foundation models at scale. 

Watch the full video

Takeda Pharmaceuticals

Takeda's Computational Oncology team uses AWS HealthOmics to analyze over 20,000 RNA sequencing samples, accelerating their cancer biomarker research towared improved diagnosis and treatment. 

Read the full case study