Why BioTeam
BioTeam helps research teams build the technical foundations behind great science. We understand scientific workflows and design solutions that are practical to implement, maintain, and scale. When your environment needs to evolve, we bring both expertise and execution.
Clients hire BioTeam to modernize AWS and hybrid HPC environments, migrate scientific workflows, and build AI-ready research data ecosystems.
AWS and HPC Modernization
BioTeam helps research organizations design, build, and modernize scientific computing environments that are scalable, secure, and cost-aware. We support AWS-native, hybrid, and on-prem HPC architectures and we understand the real-world constraints of research IT operations.
What we deliver
Target architecture and implementation plan
Performance and cost optimization strategy
Operational model, runbooks, and handoff documentation
Scientific Platform and Workflow Migration
We lead migrations of scientific workloads and platforms with minimal disruption to researchers. This includes moving HPC environments, pipelines, data, and tooling to AWS or hybrid architectures. Thus allowing for the preserved performance, usability, and reproducibility.
Common migration work
HPC and scheduler migrations (including SLURM environments)
Pipeline migration and workflow orchestration
Data migration planning, execution, and validation
Scientific Data Ecosystems and AI-Ready Platforms
We help teams build the data foundations required for modern science, including integrated, governed environments that support analytics, AI/ML, and cross-team collaboration. Our approach combines scientific context with strong platform engineering and data management practices.
What this enables
Faster time to discovery
Better reuse and reproducibility
Responsible AI and scalable analytics
Bioinformatics and Genomics
BioTeam supports genomics and bioinformatics workloads end-to-end, from data generation and ingestion to analysis pipelines and scalable compute. Our team understands the tooling, storage patterns, throughput needs, and workflow orchestration required to operationalize bioinformatics across teams.
What this means to clients
Workflow orchestration (Nextflow, WDL, Snakemake)
Scalable compute and storage for sequencing workloads
Data management and reproducibility