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SAS Clinical /Clinical SAS is the application of SAS technology to the clinical domain for clinical trial data analysis in pharmaceutical/biotech and clinical research companies. Familiarity with clinical trial aspects combined with knowledge of SAS can lead to a challenging and rewarding career that also positively impacts & transforms patients’ lives.

The First Point is Clinical SAS: Organize, standardize, and manage clinical research data and metadata quickly and efficiently. SAS Clinical Data Integration provides a foundation for defining analysis data sets and supporting strategic analyses, such as cross-study and advanced safety analysis while automating repeatable clinical trial data integration tasks.

Benefits of Using SAS

  • Increase operational efficiency while lowering costs.
  • Drive top-line growth.
  • Ensure the proper use of standards.
  • Deliver consistent, trusted, and verifiable clinical information.
  • Improve productivity.

SDTM: (Study Data Tabulation Model) defines a standard structure for human clinical trial (study) data tabulations and for nonclinical study data tabulations that are to be submitted as part of a product application to a regulatory authority such as the United States Food and Drug Administration (FDA).

ADaM: ADaM (Analysis Dataset Model) is meant to describe the data attributes such as structure, content, and metadata that are typically found in clinical trial analysis datasets. The ADaM models are built from the CDISC SDTM baseline.


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