High-performance computing (HPC) is no longer a luxury—it’s a necessity in life sciences. From genomics to simulations, today’s research environments demand cloud-native performance, security, and flexibility. In this episode of the CloudOps Podcast, AWS Life Sciences Partner PTP shares how their team builds, secures, and scales HPC environments with AWS-native tools, research-aligned architecture, and hands-on support.
PTP Senior Cloud Architect Aaron Jeskey joins Jon Myer to explain how biotech and clinical research teams are optimizing AWS infrastructure for performance, security, and compliance. Drawing from years of hands-on experience in scientific computing and managed IT services for life sciences, Aaron walks through real examples where PTP helped customers transform underperforming HPC environments into scalable, compliant platforms for innovation.
🧠 From Cluster Chaos to Cost Control
Many early-stage biotech organizations inherit legacy workflows and ad hoc cloud setups. PTP starts by performing a Well-Architected Review to identify risks, cost inefficiencies, and performance bottlenecks. This step is crucial in optimizing research IT infrastructure without disrupting scientific operations.
🔒 Built-In Security for Life Sciences Compliance
Data protection is top of mind for life sciences companies dealing with HIPAA, GxP, and GDPR. PTP helps clients implement Transit Gateway, VPN, IAM policies, and encrypted storage for full-stack security—backed by tools like its Security Risk Assessment for regulated environments.
🚀 CloudOps Designed for Scientists
Whether supporting genomics pipelines or simulation workloads, PTP focuses on aligning infrastructure with research goals. They offer integration with lab tools like ELNs and LIMS, and provide cloud migration support that reduces friction and accelerates time to science.
🎯 Enabling Autonomy Through Training
Unlike many providers, PTP empowers customers through training and direct access—not vendor lock-in. Their cloud engineering team supports organizations with hands-on education and training videos that build internal expertise.
🎙️ Join the Conversation
PTP regularly shares insights at events like AWS re:Invent and Bio-IT World. This conversation offers a valuable glimpse into how top AWS partners solve critical challenges for life sciences.
🔎 Transcript Highlights: HPC in Life Sciences with AWS and PTP
00:10 – PTP’s straightforward and planning-driven approach to HPC cloud architecture
00:50 – Right-sizing AWS clusters to improve life sciences IT performance
01:12 – Leveraging AWS-native HPC tools for life sciences research pipelines
02:05 – Introducing Aaron Jeskey and his HPC and life sciences expertise
04:36 – Clarifying high-performance computing (HPC) vs traditional clustering for bioinformatics workflows
06:01 – Challenges in HPC infrastructure for early-stage biotech companies
07:00 – Conducting AWS Well-Architected Reviews for research IT optimization
09:02 – Cost control by identifying waste in long-running AWS compute clusters
11:03 – Empowering biotech teams through training instead of vendor lock-in
13:30 – Real-world client story: migrating scientific software from laptop to AWS WorkSpaces
15:27 – Optimizing AWS GPU usage for HPC in life sciences via spot instances and AZ scaling
17:00 – Security improvements: VPN, Transit Gateway, IAM policy enforcement in regulated environments
20:00 – Building long-term research partnerships through cloud enablement and strategy
24:00 – Why hands-on cloud architecture expertise matters for biotech HPC success
33:00 – Trends in instrument data migration, IoT pipelines, and AWS-native scientific analysis
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