Scientific informatics and infrastructure services for regulated R&D operations
Zifo delivers informatics and infrastructure services to science-driven organizations—pharma, biotech, and CROs with lab and manufacturing operations. The tech stack reveals a heavy focus on high-performance computing (AWS ParallelCluster, Slurm, HPC platform design) paired with regulated data systems (LIMS, Benchling, validation frameworks), and the project list shows active work on HPC scaling, infrastructure automation, and facility qualification. Engineering dominates the hiring mix, signaling infrastructure-heavy delivery.
Zifo is a 1,000–5,000-person informatics and consulting firm based in Deerfield, Illinois, founded in 2008. The company serves pharmaceutical, biotech, and contract research organizations with services spanning digital transformation, business analysis, program management, managed services, validation, and custom development. Core expertise areas include cheminformatics, bioinformatics, data science, cloud and HPC infrastructure, instrument data integration, multi-omics, and AI/ML. Work often involves GxP-compliant environments, electronic lab notebooks, clinical data management, and computer system validation—typical of heavily regulated life-sciences operations.
AWS (ParallelCluster, Batch, RDS), HPC tools (Slurm), infrastructure-as-code (Terraform, CloudFormation), LIMS platforms (LabVantage, Benchling), programming (Java, Python, C#), databases (PostgreSQL, MySQL, Oracle), and monitoring (Prometheus, Grafana).
HPC platform design on AWS, Terraform-based infrastructure automation, facility qualification for cleanrooms, system validation and change management, equipment lifecycle tracking, and Windows security implementation.
Zifo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.