Case Study: MSAT Staffing to Support a U.S.–to–EU Pharma Technology Transfer

Background: A Late-Stage Biopharma Preparing for EU Commercialization A mid-sized U.S.-based biopharmaceutical company was preparing to commercialize its first biologic product in the European Union. As part of its global expansion strategy, the company initiated a technology transfer from its U.S. clinical manufacturing facility to a commercial EU site (located in Ireland). While the company

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Case Study: AI-Driven Supplier Audit Data Summarization

Turning Supplier Audit Files into Actionable Insights for a Mid-Size Biotech Introduction A mid-size biotech organization with approximately 600 employees and a single GMP manufacturing site faced a common challenge: hundreds of supplier audit reports, self-assessment questionnaires, and CAPA summaries stored across multiple folders, but no easy way to extract trends or prioritize risks. The

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Case Study: Accelerating a Biotech Site Expansion with Assurea’s Staffing Expertise

Client: A Biotech CompanyIndustry: Life Sciences / Pharmaceutical ManufacturingSize: 150–200 employeesEngagement Type: Full-service contract staffing partnershipPartner: Assurea Background A rapidly growing biotech company specializing in cell and gene therapy recently secured Series C funding to expand its manufacturing capacity. The organization planned to establish a new biomanufacturing site in New Jersey, aimed at scaling production

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From CSV to CSA: What FDA’s New Guidance Means for Regulated Software

The FDA has finalized its Computer Software Assurance for Production and Quality System Software guidance — a long-awaited update that signals the end of “business as usual” for software validation in regulated industries. For decades, Computerized System Validation (CSV) has been the framework life sciences companies relied on. While it provided structure, CSV often created

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Case Study: Contract Staffing of a Clinical Research Associate to Support a Medical Device Trial

Background A mid-sized U.S.-based medical device manufacturer was preparing to initiate a clinical trial for a new Class II device. The company needed additional Clinical Research Associate (CRA) support to oversee trial sites, ensure protocol compliance, and meet regulatory expectations. With limited internal bandwidth and a fast-approaching study start date, the client turned to Assurea’s

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Use Case: AI-Driven Trending and Adverse Events Data Analysis for Biotech Safety Surveillance

Scenario & Background A mid-sized biotech company developing a novel oncology cell therapy was running multiple Phase II trials across different sites. The company’s internal safety team was overwhelmed by the volume of adverse event (AE) reports and needed support in: However, the client did not want a new IT platform or continuous system integration.

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Case Study: Meeting Commercial Readiness Deadlines with Multi-Skilled QA and Validation Experts

Client: Mid-sized biotech company developing novel biologics.Industry: Biotechnology / Life SciencesPositions: 2 QA Specialists and 3 Validation Engineers Background A biotech company was advancing a promising therapeutic candidate through clinical studies toward commercialization. To meet FDA submission timelines, validation of their GMP manufacturing and QC lab equipment and systems had to be completed within six

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Use Case: AI-Powered MBR vs. SOP Contradiction Check

In the biotech industry, the integrity of documentation is just as critical as the product itself. Master Batch Records (MBRs) guide the execution of production steps, while Standard Operating Procedures (SOPs) define how those steps should be performed and documented. These two document types are deeply interconnected, and any misalignment between them can lead to

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Strategic Staffing in Action: Supporting EU Regulatory Readiness with a Contract CMC Lead

As part of preparing for commercial readiness, a Phase 3 biotech client faced a pivotal challenge: expanding into the European Union while meeting critical regulatory filing and inspection requirements. Their internal regulatory team was well-versed in U.S. requirements but lacked specific expertise in EU Module 3 expectations, centralized procedures, and regional submission strategy. The challenge:

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Use Case: AI-powered Deviation Analysis 

Scenario: A Biotech Company Analyzing 500+ Deviations to Uncover Trends and Gain Cross-Departmental Clarity A mid-sized biotech company had over 500 deviations logged at a single manufacturing site, spread across multiple departments including Quality, Manufacturing, Engineering, and Supply Chain. The data resided in their existing systems (QMS, Excel exports, reports), and they saw an opportunity

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