Bring advanced and differentiated therapeutics to market faster with AWS

With the help of AWS, biopharma organizations modernize every stage of the value chain—from R&D through commercialization—to bring advanced and differentiated therapeutics to market faster.

Unlock the potential of scientific data and develop a more streamlined approach to therapeutic development with AWS. As a trusted partner to industry leaders, you can leverage the decades of life sciences expertise at AWS to accelerate discovery, product development, manufacturing and commercialization. The unmatched reliability, security, and data privacy with AWS allow you to confidently innovate in a highly dynamic market.

Streamline innovation in biopharma with AWS (1:16)

90%

of top 10 global biopharma companies use AWS

130+

HIPAA-eligible services

500+

features and services focused on security and compliance

90%

potential savings on compute

24

regions and 77 Availability Zones

200+

fully featured services from datacenters globally

Benefits

Innovate with a trusted partner

As your innovation partner, AWS delivers an unmatched breadth and depth of services; the most mature, reliable, and secure cloud platform; and a deep understanding of life sciences industry regulations and compliance.

Break down data silos

Unlock insights and actualize the potential of your data across the biopharma value chain. Unite R&D discoveries, clinical trial insights, supply chain information, sales results, and real-world data for a holistic view of the therapeutic lifecycle.

Achieve operational excellence and cost savings

Streamline operations and boost business agility by accessing the broadest choice of computing, analytics, and ML services. Optimize costs and performance and develop more efficient workflows.

Personalize customer engagements

Build your own personalized customer experiences at every major touchpoint using the same customer-centric services that power Amazon.com. Improve marketing communications, personalized patient support services and digital therapeutics.

AWS Partners in Biopharma

Access a marketplace of third-party solutions and network of life sciences partners ready to help you at every step. The AWS Marketplace for Life Sciences has more than 100 healthcare and life sciences-specific listings, while AWS Life Sciences Competency Partners can help you build customized solutions on AWS.

Learn more about AWS Marketplace for Life Sciences and AWS Life Science Competency Partners.

Use cases

Biopharma use cases
  • Research & discovery
  • Clinical development
  • Manufacturing
  • Commercialization
  • Post-market
  • Security & compliance
  • Research & discovery
  • Research and discovery

    De-risk and advance molecules into development faster using on-demand, cost-effective, high-performance computing power and AI/ML capabilities on the most extensive cloud infrastructure. Facilitate secure research collaborations between your global teams and simplify data movement from lab equipment to integrate research environments. AWS delivers the broadest range of compute and storage options so you can optimize costs and performance, while analytics services help you maximize data liquidity and prime datasets for ML. 

    View related solutions »

    diagram_reseach-discovery

    Core products

    Customer references

    logo_bristol-myers-squibb

    Bristol Myers Squibb

    BMS adopted a multi-tenant concept to standardize its use of data lakes and leveraged AWS Glue to build out scalable infrastructure. 

    logo_Numerate

    Numerate

    Numerate runs its ML platform on AWS and embraced infrastructure as code to reliably and repeatedly provision its infrastructure, freeing the team to innovate faster.

    logo_abcellera

    AbCellera

    AbCellera leveraged AWS technology to help bring the world’s first COVID-19 antibody drug candidate into human clinical trials.

    logo_InhibOx

    InhibOx

    InhibOx, the world’s largest virtual library of modeled drug candidates, easily launches computational clusters using open-source tools on AWS.

    logo_astrazeneca

    AstraZeneca

    Using Amazon SageMaker Ground Truth, AstraZeneca automated aspects of its tissue sample reviews, cutting time spent cataloging by 50 percent.

    logo_Celgene-logo

    Celgene (now part of Bristol Myers Squibb)

    The R&D team at Celgene used AWS high-performance computing to accelerate cancer drug research.

    Whitepaper: AWS Labs of the Future - Enabling Integrated Research Labs with Cloud Technology White Paper

    Read the whitepaper »

    Blog: Building the foundation for Lab of the Future using AWS

    Read the blog »

    Solution: Service workbench on AWS

    Read more »
  • Clinical development
  • Clinical development

    Power the entire clinical development process—from designing effective trials using analytics and ML capabilities, to unlocking virtual trial capabilities, to accelerating the regulatory submission process. AWS services allow you to securely capture the massive amounts of data generated during clinical trials and effectively collaborate between investigators, contract research organizations (CROs), and sponsor organizations. 

    View related solutions »

    diagram_clinical-development2

    Core products

    Customer references

    logo_evidation

    Evidation Health

    Passively collected data could enable health personalization outside the walls of a clinic, increasing visibility and accuracy.

    Q2-Solutions_Customer-Reference_Logo@2x

    Q2 Solutions

    Q2 Solutions moved to AWS to launch a proof of concept for its genomics pipeline. Today, the company has a petabyte of data stored in the AWS Cloud and can use ML to support clinical trials—delivering insights within minutes rather than days.

    logo_trialspark

    TrialSpark

    Using Amazon Connect to engage participants, TrialSpark created a platform that runs clinical trials on AWS from beginning to end—with site recruitment that’s 40 percent faster than the national average.

    logo_aicure

    AiCure

    AiCure uses multiple AWS solutions, like Amazon Cognito and AWS Key Management Service, to collect, catalog, and process video, audio, image, and text data from patients participating in clinical trials. 

    logo_deep6-ai

    Deep 6 AI

    Deep 6 AI built a real-time, real-world data ecosystem on AWS that uses AI and natural language processing to enable clinical trials that are more digital, collaborative, and data driven.

    umotif_Logo_@1x

    uMotif

    uMotif leveraged the wide breadth of HIPAA-eligible AWS services for its solution that securely captures 38+ million data points from 13,500 mobile devices of clinical trial participants.

    Webinar: Post Pandemic Patient Engagement In Clinical Trials

    Watch the webinar »

    Whitepaper: Modernizing clinical trials with digital technologies and the cloud

    Read the whitepaper »

    Blog: Improve clinical trial outcomes by using AWS technologies

    Read the blog »
  • Manufacturing
  • Manufacturing and supply chain

    Modernize manufacturing processes by breaking down data siloes, leveraging ML to generate insights, utilizing more cost-effective infrastructure, and enhancing regulatory compliance. AWS delivers the services you need for visibility into shop-floor data and improved data liquidity throughout the supply chain. Gain efficiencies and reduce costs through meaningful insights and the ability to forecast product demand and production. 

    View related solutions »

    diagram_pharma-manufacturing

    Core products

    Customer references

    logo_moderna

    Moderna

    Moderna built a manufacturing facility using SAP S/4HANA in a GxP-validated environment in AWS, delivering the speed, scalability, and lower costs that are central tenets of its busines model.

    logo_novartis

    Novartis

    Through a collaboration with AWS, Novartis developed Insight Centers, which provide real-time, interactive operational information about its manufacturing process more accurately measure efficiency, obtain a complete view for management, and leverage ML to predict site performance.

    logo_bristol-myers-squibb

    Bristol Myers Squibb

    As Bristol Myers Squibb assessed its options for SAP S/4HANA transformation, it needed a way to streamline compliance with GxP and other regulatory requirements. Using AWS CloudFormation, BMS created a consistent, scalable, and repeatable compliance process so it could focus on a broader SAP transformation.

    Merck

    Merck

    Merck improves speed and reduces manual effort to assess change proposals up to 70% on AWS.

    logo_Aizon

    Aizon

    Aizon leverages AWS IoT services to deliver near real-time insights on the shop floor that help organizations predict when equipment may need maintenance, ensure critical quality metrics are met, and improve operational efficiency by as much as 2 percent.

    logo_multiply-labs

    Multiply Labs

    Using AWS RoboMaker, Multiply Labs can demonstrate traceability and achieve continuous compliance for its FDA-regulated workloads.

    Webinar: Modernizing pharmaceutical manufacturing with IoT and AI/ML

    Watch the webinar »

    Whitepaper: Modernizing Life Science Manufacturing: How analytics, IoT and the cloud are rewriting drug production

    Read the whitepaper »

    Solution brief: Modernizing Life Science Manufacturing Using AWS Services

    Read the solution brief »
  • Commercialization
  • Commercialization

    Stakeholders leading commercial product launches can democratize data access, optimize the effectiveness of a biopharma salesforce, and support omni-channel communications to engage healthcare professionals and customers via their preferred methods. Data lakes on AWS enable effective information exchange, while AI and ML services allow you to automatically personalize content for patients and target the right providers. 

    View related solutions »

    diagram_commercialization

    Core products

    Customer references

    logo_med-life

    Medlife

    India’s largest online pharmacy, Medlife, uses Amazon Pinpoint to send personalized notifications for prescription delivery and reminders for ordering refills, making the medication ordering process more convenient and intuitive.

    logo_babylon

    Babylon Health

    India’s largest online pharmacy, Medlife, uses Amazon Pinpoint to send personalized notifications for prescription delivery and reminders for ordering refills, making the medication ordering process more convenient and intuitive.

    logo_allergan

    Allergan

    Allergan migrated more than 400 marketing websites and applications to AWS, enabling more agile marketing, lower operating costs, and the ability to meet compliance requirements.

    Webinar: Personalizing patient engagement with AWS Cloud

    Watch the webinar »

    Blog: Real-time personalization and recommendation for everyone

    Read the blog »

    Webinar: Building immersive experiences with Amazon Pinpoint Journeys

    Watch the webinar »
  • Post-market
  • Post-market surveillance and patient support

    Simplify real-world evidence (RWE) collection and management, and effectively scale to handle the growing number and sources of Adverse Event Data. With greater visibility and insights from data via analytics and ML capabilities, you can pool, organize, and analyze data from market surveillance to improve patient support. Leverage the most extensive cloud platform and real-time streaming capabilities to ensure your digital therapeutics can effectively handle large-scale, confidential patient data anywhere on the globe. 

    View related solutions »

    diagram_post-market-survellance

    Core products

    Customer references

    logo_Sanofi-logo

    Sanofi

    Sanofi built a big data and analytics platform that handles billions of rows of real-world data with complete traceability, security, and support for advanced analytics and ML for day-to-day RWE generation.

    logo_omada

    Omada Health

    Omada Health leveraged HIPAA-eligible AWS services and achieved HITRUST certification to build a digital version of its Diabetes Prevention Program.

    logo_propeller

    Propeller Health

    Using IoT services and Amazon SageMaker, Propeller Health delivers personalized health forecasts for each patient to help them manage their chronic respiratory disease.

    logo_takeda

    Takeda

    Takeda Pharmaceuticals uses ConvergeHEALTH on AWS to collect and analyze RWE and gain insights into complex disease states to better identify gaps in therapy and unmet patient needs.

    logo_amgen

    Amgen

    As part of its pharmacovigilance program, Amgen used ML and natural language processing models to identify safety events. 

    logo_novartis

    Novartis

    Using AWS ML services, Novartis developed smart manufacturing processes that monitor manufacturing plants on an individual and network basis. The insights enable Novartis to optimize supply chains and eliminate redundancies between facilities.

    Sanofi Webinar: Performing end-to-end real-world evidence generation with traceability and transparency on AWS

    Watch the webinar »

    Whitepaper: Real-world evidence in the cloud

    Read the whitepaper »

    Whitepaper: Digital therapeutics

    Read the whitepaper »
  • Security & compliance
  • Security & industry compliance

    Achieve near continuous compliance for GxP-regulated workloads through AWS services that allow you to automate compliance checks and provide enhanced management and traceability. AWS provides the tools, guidance, and industry experts to help you comply with GxP, HIPAA, HITRUST, and GDPR standards throughout the entire biopharma value chain. Discover more than 130 HIPAA-eligible services, certifications for compliance with ISO/IEC, and over 500 features and services focused on security and compliance that help you enhance security and support compliance.

    View related solutions » 

    diagram_pharma-biotech_security

    Core products

    Customer references

    logo_bristol-myers-squibb

    Bristol Myers Squibb

    Using AWS CloudFormation, BMS created a consistent, scalable, and repeatable compliance process so it can focus on its broader SAP transformation.

    logo_moderna

    Moderna

    Moderna built a manufacturing facility using SAP S/4HANA in a GxP-validated environment in AWS.

    logo_Idorsia

    Idorsia

    Idorsia had to achieve full IT independence after an acquisition and turned to AWS for a cloud-based framework that delivered automated deployment and testing for GxP compliance. 

    logo_waters

    Waters

    By building its chromatography software solution on AWS, Waters was able to deliver a more cost-effective product that still helps customers meet their goals for GxP data integrity and computer-system validation.

    logo_core-informatics

    Core Informatics

    Core Informatics developed a platform on AWS that enables GxP-validated applications in the cloud for its customers.

    logo_Aizon

    Aizon

    Aizon leverages AWS IoT services to deliver near real-time insights on the shop floor that help organizations predict when equipment may need maintenance, ensure critical quality metrics are met, and improve operational efficiency by as much as 2 percent.

    Webpage: GxP on AWS

    Check it out »

    Blog: Explore the newest GxP on AWS blog series

    Read the blog »

    Whitepaper: GxP

    Read the whitepaper »

Compliance in Biopharma

Gain more control over your IT environments, achieve enhanced testing and traceability, and respond faster to audits with a variety of AWS services that help you simplify biopharma compliance.

Learn more about biopharma compliance with AWS »

Case studies & resources

View all biopharma customer case studies and related resources.

AstraZeneca case study

AstraZeneca

AstraZeneca leveraged AWS ML services to accelerate drug research and introduce new medicines to the market faster. Using Amazon SageMaker Ground Truth, AstraZeneca automated aspects of its tissue sample reviews, cutting time spent cataloging by 50 percent.

Read the blog »

Bristol Myers Squibb case study

Bristol Myers Squibb

Bristol Myers Squibb sought to standardize its patchwork of different data lakes that used various tools and led to inconsistencies and technical debt. By moving to AWS, BMS adopted a multi-tenant concept to use services in a consistent way and leveraged AWS Glue to build out scalable infrastructure.

Read the full case study »

Novartis case study

Novartis

Using AWS ML services, Novartis has developed smart manufacturing processes, including an insight center that monitors manufacturing plants on an individual and network basis. The insights enable Novartis to optimize supply chains and eliminate redundancies between facilities.

Read the blog »

Biogen case study

Biogen

Biogen sought to leverage 1 petabyte of data from the UK Biobank, to bring its drugs to market faster, discover new genes to target, and improve its understanding of neurobiological diseases. Working with AWS, Biogen set up a secure Amazon VPC to handle big data, Amazon S3 for storage, Amazon EC2 for compute, and Databricks to analyze and visualize the data using common tools.

Read the full case study »

Thermo Fisher case study

Thermo Fisher Scientific

Thermo Fisher Scientific unified traditional wet lab workspaces and computational spaces through new data-driven workflows. With Amazon Alexa for Business, operators use voice commands to direct lab instruments to perform a requested action or respond with information. 

Read the full case study »

Kyowa Kirin case study

Kyowa Kirin

Kyowa Kirin quickly enabled remote work for employees and streamlined its business by deploying Amazon Workspaces, which enabled an easy migration to Windows 10 and a systemwide implementation of robotic process automation.

Read the full case study »

Allergan case study

Allergan

As Allergan acquired drug brands, it needed a way to quickly add the new websites to its portfolio and act faster on marketing campaigns. Allergan migrated more than 400 marketing websites and applications to AWS, enabling more agile marketing, lower operating costs, and the ability to meet compliance requirements.

Read the full case study »

Q2 Solutions case study

Q2 Solutions

Instead of owning and maintaining equipment for genetic sequencing, Q2 Solutions opted to move to AWS and launch a proof of concept for its genomics pipeline. The company has a petabyte of data stored in the AWS Cloud and can use ML to support clinical trials—delivering insights within minutes rather than days.

Read the full case study »

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