Agentic Biotech Is Coming Fast. Most Systems Aren’t Ready.
The life sciences industry has spent the last several years getting excited about AI. Now it’s getting specific. Jennifer Wortman, Nick George, Brian Osborne, and Abby Farrar were in New York last week at the AWS Life Sciences Symposium. The conversation had moved on from “should we use AI?” to something harder: how do you […]
The Data Layer Problem Life Sciences Can’t Ignore
The Data Layer Problem Life Sciences Can’t Ignore Applications have gone serverless, stateless, and intelligent. But across much of the life sciences industry, the data infrastructure underneath them hasn’t kept pace. Legacy databases remain monolithic, expensive to maintain, and painful to migrate. That disconnect is becoming harder to ignore as organizations push toward […]
BioTeam’s AWS Roundtable Boston
Building AI-Ready Infrastructure for Biomedical Research In November 2025, BioTeam hosted a Boston roundtable with professionals from across pharma, biotech, academic medical centers, and government research institutions focused on one of the most pressing challenges in life sciences today: how to make biomedical data truly AI-ready. Co-hosted with Amazon Web Services, the discussion centered on […]
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 […]
CryoSPARC v5 crashing daily?
This Post is 100% Google Search Bait This is one of those short-form posts I throw up, hoping that someone in the future using Google does not waste the time that I did debugging this issue. If you are dealing with an issue where the CryoSPARC v5 application from the fine folks at https://cryosparc.com is […]
Modernizing Research HPC Authentication: Bridging Enterprise Identity and AWS ParallelCluster
Modern research institutions often hit a wall when modernizing access to high-performance computing environments. The compute infrastructure is already in place. Enterprise identity systems are already established. The challenge is enabling those systems to work together securely without creating friction for researchers or compromising institutional security requirements. BioTeam recently helped a major federal research institution […]
Bioinformatics at Scale: Building Computational Autonomy Across a Federal Research Institution
Overview As research teams increasingly rely on computational methods to analyze complex experimental data, many scientists face barriers to independently using bioinformatics tools and modern analytical workflows. A leading federal research institution sought to strengthen internal capability by improving researchers’ access to practical training, standardized workflows, and ongoing computational guidance. BioTeam partnered with the institution […]
Schrödinger at Scale: Enterprise HPC Infrastructure, Deployed in Minutes
Summary BioTeam partnered with a healthcare-focused investment firm whose mission is to advance healthcare innovation by funding innovative, new biotech organizations. These organizations required an automated, secure, scalable, and repeatable cloud-based HPC environment on AWS for their drug discovery pipelines. The client needed a compliant technology foundation that could be deployed at scale across multiple […]
AI Drug Discovery Panel Features BioTeam’s Managing Director Jennifer Wortman
At the recent DataFair Boston workshop, BioTeam’s Managing Director, Jennifer Wortman, participated in a panel discussion focused on a growing tension within the biomedical research community. The discussion explored the relationship between the expanding availability of large public datasets and the continued need for context-rich data to support meaningful drug discovery. Panelists discussed the […]
Building a Centralized Scientific Data Ecosystem at a Large Research Institute
Overview Researchers at a leading NIH institute were generating increasingly complex scientific datasets, and the need for a modern, optimized data infrastructure became a key priority to support their cutting-edge research. Scientific data was distributed across various Network Attached Storage (NAS) systems, external hard drives, and instrument control computers without network access. There was […]