Originally broadcast on March 1, 2022, this on-demand webinar brings together experts from PTP, Amazon Web Services (AWS), and Quilt Data to guide life sciences and biotech organizations through modern data management strategies in the cloud.
Featuring Gary Derheim (PTP), Aneesh Karve (CTO, Quilt Data), and Jim Davis (AWS Life Sciences), the conversation covers everything from data ingestion using Amazon S3, AWS Control Tower best practices, infrastructure setup, and collaboration across scientific and technical teams.
Webinar Highlights
- Key AWS challenges for biotech and early-stage life sciences companies
- Best practices for data ingestion, curation, and reuse
- Building secure, compliant infrastructure using AWS tools like Control Tower and S3
- The importance of automation and orchestration in scientific computing IT support
- How to centralize and tag data to break down silos between lab and data scientists
Panelists
- Gary Derheim – VP of Managed IT Services and CloudOps, PTP
- Jim Davis – Life Sciences Business Development, AWS
- Aneesh Karve – CTO, Quilt Data
- Aaron Jeske – Senior Cloud Architect, PTP
How PTP Helps Accelerate Research
PTP supports biotech and pharma companies through managed IT services for life sciences, enabling scalable infrastructure with AWS, scientific computing IT support, and automated data workflows. Using tools like AWS Storage Gateway, Lambda, and S3, PTP helps teams go from raw lab data to actionable insight—securely and cost-effectively.
Our approach includes:
- Deploying HIPAA- and GxP-ready AWS environments
- Using AWS Control Tower and multi-account best practices
- Integrating bioinformatics pipelines with HPC platforms and batch orchestration
- Providing IT support for clinical research and data-driven workflows
Popular Questions Covered
- What are the biggest points of friction for biotech companies using AWS?
- What are the most important aspects of data management to get right from day one?
- How do you manage cloud costs while enabling scientific agility?
- How can lab tools like Egnyte and Benchling be integrated into AWS-based data lakes?
- What role do tagging, data culture, and reuse play in long-term success?
🧬 Want a Biotech Guru GOAT T-Shirt?
Show off your cloud + science pride with PTP’s exclusive “Biotech Guru GOAT” shirt—perfect for conferences, labs, and Zoom calls alike. Click here to place your order and rock the goat!
🔎 Transcript Highlights: From Zero to Science
00:00 – Welcome, panel intros, and cloud innovation for life sciences
04:00 – Common AWS friction points for biotech startups
07:00 – The importance of reusable data and storage strategies
12:00 – What makes AWS Control Tower and multi-account structures effective
16:00 – Automating ingestion, curation, and workflows using S3
22:00 – Egnyte and Benchling integration, system of authority with S3
30:00 – Lambda, Step Functions, orchestration examples
36:00 – S3 tagging, metadata enrichment, and cultural shift around data trust
44:00 – Closing comments on human aspects of data architecture