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 […]
Schrödinger 2026-1 and broken jsc certs
Note: This post is pure google bait designed to help others who run into the same problem. We hope it helps! 16-April-2026: Correction – Schrödinger has documented this issue and a workaround at https://my.schrodinger.com/support/article/629509 You upgraded jobserverd, your functionality tests ran clean on the Slurm side, and a few hours later your scientists started complaining. […]
License-Aware Cloud HPC: Accelerating Discovery with Schrödinger, Cresset, and Posit
Summary Computational chemistry software licenses are among the most expensive line items in a drug discovery budget. When those licenses run on cloud HPC, poor integration creates problems: idle licenses burn money, contention between researchers stalls work, and GPU-heavy notebook sessions run around the clock even when no one is using them. It’s not just […]
PCS or ParallelCluster for Schrödinger Suite?
Everything you never wanted to know about PCS and PCluster for Schrödinger Workloads but have been forced to find out Why? It’s rare for me to simultaneously work on ParallelCluster and PCS for the same workload, and I learned some things, enough to justify writing some words about it. Hope someone finds it useful! Drivers […]
Research at Scale: Architecting HPC Infrastructure for a Leading Academic Medical Center
Summary A globally recognized academic medical center (AMC) for integrated healthcare and biomedical research faced a critical need to scale its data infrastructure to support accelerating demands in clinical operations and precision medicine. With well over 3,000 active clinical trials and more than 21,000 annual scientific publications, the scale of data production necessitated a platform […]