Claude Science Beyond Chat: Connecting AI to Scientific Computing
The introduction of AI workbenches such as Claude Science signals an important shift in how researchers interact with computational infrastructure. Instead of treating AI as a standalone assistant for writing code or summarizing literature, scientists are beginning to use AI as a gateway to the tools, software, and computing resources that power modern research. As […]
Helping Researchers Move from Idea to Analysis in Seconds
Scientific computing has become an essential part of modern life sciences research. From computational chemistry and molecular modeling to bioinformatics and AI, researchers depend on specialized software and high-performance computing (HPC) to accelerate discovery. Unfortunately, accessing those tools isn’t always as simple as launching an application. Researchers often encounter delays caused by infrastructure provisioning, software […]
Connecting Compute To Claude Science
July 2026 Update: Since writing the post below, I was able to get more hands-on with Claude Science including: Confirming that I can proxy AWS SSM traffic over the native Claude Science SSH connector; allowing access to private AWS HPC resources and compute servers Developed a Claude Science skill that can use the SSM […]
Your old AWS ParallelCluster stacks will NOT break in 2026
Note: This post is pure google bait designed to help others who run into the same problem. We hope it helps! We had been advising clients to rebuild older ParallelCluster stacks — the ones whose cleanup Lambdas are templated on python3.9 — by mid-2026, ahead of the published Lambda block dates. Those dates have moved. […]
Bio-IT World’s Trends from the Trenches Podcast: Reducing Data Friction for AI and HPC in Life Sciences
Life sciences organizations are generating more data than ever before, but many research environments still struggle with fragmented infrastructure, disconnected workflows, and data spread across storage systems, sites, and clouds. In this episode of Bio-IT World’s Trends from the Trenches podcast, Adam Marko, Field CTO for Life Sciences at Hammerspace, joins BioTeam’s Jessica StLouis to […]
Why HPC Is Finally Becoming Accessible to Everyday Researchers
High-performance computing (HPC) has become essential to modern science, but many researchers still face major barriers when accessing compute resources, collaborating across institutions, and managing scientific data workflows. Increasingly, research organizations are rethinking computing infrastructure not just as backend technology, but as a scientific instrument designed to accelerate discovery, reduce friction, and make advanced computing […]
Where to Find BioTeam at Bio-IT World 2026
Bio-IT World is almost here, and BioTeam will be participating across workshops, technical sessions, track leadership, networking events, and podcast conversations throughout the week in Boston.This year, many of the conversations we are having with research organizations, platform teams, and infrastructure leaders center around reproducible AI workflows, scientific data operations, cloud/HPC modernization, and preparing research […]
Schrödinger Best Practices vs AWS PCS Limits
Modern HPC integration practices for Schrödinger workloads tend to want 10–12 Slurm partitions and matching host entries, because Maestro doesn’t let chemists pass Slurm arguments directly. That design preference collided with AWS Parallel Computing Service on a recent deployment: PCS has a hard, non-adjustable cap of 10 partitions and 10 compute node groups per cluster. […]
Four FTRs and Counting…
BioTeam now has four offerings on the AWS Marketplace, each validated through the AWS Foundational Technical Review (FTR) process. BioTeam has been working with AWS since 2007, when the platform was still in beta. That history runs deep. Over nearly two decades, we have built, migrated, and optimized scientific computing environments for pharma, biotech, federal […]
AWS PCS resolves Licenses length issue
Good news: The 1024-character limit in the AWS PCS custom slurm configuration parameter that enables license-aware job scheduling was recognized by AWS as a “bug” and recently resolved. The new character limit is 2048. TL;DR AWS Parallel Computing Service (PCS) previously capped every slurmCustomSettings.parameterValue at 1,024 characters. The limit applied uniformly through Terraform, the AWS […]