USDM Life Sciences is a Santa Barbara consultancy that implements and validates regulated systems for biotech, pharma and medical device firms. Its stack spans lab and plant systems (LabWare LIMS, Veeva LIMS, Benchling, Siemens Opcenter, OSI PI, DeltaV) alongside OpenAI, Anthropic and RAG, a sign that GenAI is being layered onto validation work. Accelerating, senior-heavy engineering hiring is concentrated on LIMS, MES validation and labeling programs.
Notable leadership hires: Regulatory Labeling Lead, Validation Lead
USDM Life Sciences, founded in 1999 and headquartered in Santa Barbara, California, is a privately held firm with 201–500 employees. It serves biotech, pharmaceutical and medical device companies that operate under regulatory oversight. Its services cover regulated system implementation and validation, data integrity, infrastructure qualification, cybersecurity and third-party risk, and AI applied to life sciences operations. Engagements touch laboratory, manufacturing and enterprise platforms including LIMS, MES, SAP and Oracle. The company hires in the United States and Peru.
The stack includes LabWare LIMS, Veeva LIMS, Benchling, Siemens Opcenter, OSI PI, DeltaV, SAP, Oracle, Databricks, AWS, OpenAI, Anthropic and RAG, plus Python, VMware vSphere, Citrix and Veeam.
Yes. Hiring is accelerating and engineering is the largest department, mostly at senior and principal levels, with leadership openings for a Regulatory Labeling Lead and a Validation Lead.
Current work includes PAS-X MES validation, 21 CFR Part 11 compliance support, LLM deployment for compliance, real-time data pipelines, and standardized label formats across sites.
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USDM Life Sciences'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.
