How PTP Built a Compliant Cloud Environment for a Therapeutics Company

The client was an early-stage therapeutics organization with a cloud-first strategy and a need to support both lead discovery and clinical data workflows. They required a secure and scalable environment that could handle regulated data, align with HIPAA and 21 CFR Part 11 expectations, and support collaboration with global contract research organizations.

In practice, that meant solving for governance, secure international data transfer, scientific computing, identity, and day-to-day operations from the start, not after the environment became harder to manage.

PTP deployed AWS Control Tower to give the client a centralized way to manage multiple AWS accounts with consistent guardrails, security policies, and auditability. This helped create a well-architected foundation for a life sciences cloud environment that could scale with the business while supporting regulated operations.

For biotech and therapeutics teams, this kind of account structure reduces complexity early and makes it easier to grow without reworking governance later.

One of the biggest requirements was the secure movement of sensitive imaging data generated by CRO partners in the Asia-Pacific region. PTP implemented a dedicated fiber backbone to the AWS US East region so the client could move research data securely and make it available for downstream analysis.

This architecture supported global collaboration without sacrificing control, which is critical for life sciences teams working across research partners, time zones, and regulated datasets.

Once data landed in AWS, the client used EC2 instances configured with RStudio and related scientific tools for analysis. PTP also supported Spotfire Server and Lead Discovery Studio to help scientists visualize data, collaborate internally, and move more quickly through discovery workflows.

That matters because infrastructure for therapeutics and biotech teams cannot stop at generic IT. It has to support the actual applications and workflows scientists use every day.

AWS handled the cloud-first research and analytics side of the environment, while Microsoft Entra ID and NTFS-based file services supported traditional IT needs. This hybrid design gave the client stronger identity management and secure access control without forcing every workload into a single platform.

For many life sciences organizations, a hybrid AWS and Azure model is the practical path because research, business operations, and user management rarely sit in one neat stack.

Beyond the initial build, PTP supported the environment through a PeakPlus™ engagement that included 24/7 operations support, change assistance, and proactive cloud optimization. This helped the client keep the environment secure, performant, and ready to scale as the organization evolved.

In other words, the project was not just a one-time cloud deployment. It became an operating model for ongoing biotech growth.

• Start governance early when building a life sciences cloud environment
• Design for secure CRO data exchange from the beginning
• Support scientific tools as part of the infrastructure plan, not as an afterthought
• Use hybrid identity and file services where they fit the operating model
• Pair cloud architecture with ongoing managed support to reduce operational risk