Princeton Pharmatech


Princeton Pharmatech is a data-centered contract research organization (CRO) specializing in high-quality biostatistical and data programming services for pharmaceutical and biotechnology clients. Since 2008, they focus on precision analytics, complex modeling, and deriving innovative insights from clinical data across all stages of clinical development, including regulatory approval and post-market research. Their mission is to guide analytical processes to advance medical therapies to market success through excellence, accuracy, and scientific integrity. They have a team of experienced statisticians and data scientists dedicated to solving complex statistical problems with tailored solutions.

Industries

data-integration-0c4a
pharmaceutical

Nr. of Employees

small (1-50)

Princeton Pharmatech

Princeton Junction, New Jersey, United States, North America


Services

Statistical design services for Phase II and Phase III trials including endpoint selection, enrichment strategies, and design optimization to reduce program risk.

Operational collaboration with CROs to perform data integration, risk-based monitoring, interim and final analyses, and to address data quality issues during study conduct.

Creation of centralized data hubs and reconciliation of multi-source trial data, standardization into CDISC formats for analysis and regulatory submission.

Preparation of CDISC-compliant eCTD data packages and support for regulatory submission queries and expedited additional analyses.

Post-market analytics combining trial data with insurance claims, electronic medical records, and registries to evaluate real-world performance and support medical affairs.

Expertise Areas

  • Biostatistical consulting
  • Clinical trial design and execution
  • Regulatory submission support (FDA/EMA)
  • Adaptive and Bayesian trial methodology
  • Show More (4)

Key Technologies

  • CDISC data standards
  • eCTD data packaging
  • SAS statistical programming
  • Bayesian hierarchical modeling
  • Show More (7)

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