Originally broadcast on March 1, 2022, this on-demand webinar focuses on helping life sciences organizations and biotech startups improve their bioinformatics data management. Hosted by PTP, the discussion features leaders from AWS, Quilt Data, and PTP’s cloud architecture team sharing best practices for scaling data workflows in a secure and compliant environment.
The session offers a deep dive into the journey from raw data to refined, research-ready information. Topics include moving lab data from on-premises to AWS, establishing structured data lakes, and enabling collaboration across lab scientists and data engineers. The conversation also highlights how managed IT services for life sciences can accelerate time to insight while maintaining regulatory compliance.
Expert Panelists
- Aneesh Karve – CTO, Quilt Data
- Jim Davis – Business Development, AWS Life Sciences
- Aaron Jeske – Senior Cloud Architect, PTP
- Gary Derheim – VP of Marketing & Managed Services, PTP
Topics Covered
- Common barriers for biotech startups when adopting AWS
- Cloud infrastructure priorities for life sciences teams
- Strategies for reusable datasets in S3 and data governance
- Tagging, tracking, and scientific data sharing
- How AWS Storage Gateway and Control Tower support scaling and compliance
- Integrating lab tools like Egnyte, Benchling, and Quilt Data into AWS
What You’ll Learn
This session is designed for life sciences companies managing large volumes of lab data and preparing for clinical trials or scaling R&D. You’ll gain actionable insights into building infrastructure that supports automation, cost control, and collaboration.
Learn how PTP’s cloud managed services help organizations build scalable IT environments, improve data governance, and reduce friction between research and engineering teams. The panel also shares real-life examples of improved lab efficiency and data workflows through automation.
🔎 Transcript Highlights
- 00:20 – Data workflow challenges for lab scientists and hybrid AWS architecture
- 01:23 – Using NTFS-mounted appliances backed by S3 to scale bioinformatics workflows
- 02:28 – Storage Gateway for legacy system integration in scientific computing IT
- 04:04 – Local and virtual appliance deployment considerations for life sciences labs
- 05:01 – Automating secure data transfer with managed IT services
- 06:00 – Biotech case study: weekly manual effort reduced by 5+ hours via cloud automation
- 07:00 – Data tiering and hybrid strategies to optimize AWS storage costs
- 07:50 – Avoiding vendor lock-in and enabling scalable multi-endpoint data access