Clinical data analytics and functional outsourcing for life sciences
Vita Global Sciences provides clinical data analytics, biostatistics, and regulatory services to pharmaceutical and biotech companies. The stack reveals heavy reliance on specialized life-sciences tools (Labvantage, CDISC, JMP, SAP, IVRS) alongside cloud infrastructure (AWS, Azure, GCP), and recent adoption of RAG suggests early exploration of AI-assisted document or regulatory intelligence. Hiring is heavily skewed toward research roles (15 of 30 open positions), with accelerating velocity across mid and senior levels, indicating scaling of clinical operations capacity.
Vita Global Sciences, a division of Kelly, operates as a niche professional services firm serving pharmaceutical, biotech, and clinical research organizations. Founded in 2014 and headquartered in Waltham, Massachusetts, the company spans clinical operations, data management, biostatistics, statistical programming, regulatory submissions, and clinical IT services. The organization manages end-to-end clinical trial execution—from material logistics and study support through data integrity oversight and regulatory compliance. Current project portfolio centers on clinical trial management, lab modernization, LIMS migration, equipment validation, and operator certification initiatives, with ongoing friction around supply chain constraints and production-demand balancing.
Core tools include Labvantage (LIMS), Electronic Data Capture, SAP, JMP, CDISC standards tools, and IVRS. Cloud infrastructure runs on AWS, Azure, and GCP. Recently adopting RAG for potential regulatory or document intelligence workflows.
Clinical trial execution and management; data integrity and lab modernization; LIMS migration; equipment qualification and validation; operator certification; and clinical trial material logistics. Pain points center on equipment validation, supply chain impacts, and production-demand constraints.
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Vita Global Sciences, a Kelly Company'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.