Clinical Services

At innoDAX, we empower the life sciences and pharmaceutical industry with advanced data analytics and CDISC-compliant data standardization solutions. Our expertise in SDTM, ADaM, and TLF programming ensures that clinical trial data is clean, compliant, and ready for regulatory submission with precision and efficiency.

We help sponsors, CROs, and clinical data teams overcome challenges in data transformation, statistical analysis, and reporting, enabling faster and more reliable decision-making across the clinical lifecycle.

How We Help

·         SDTM (Study Data Tabulation Model) Implementation — Transform raw clinical trial data into standardized SDTM domains to ensure regulatory compliance with FDA and PMDA guidelines.

·         ADaM (Analysis Data Model) Creation — Develop ADaM datasets that support robust and traceable statistical analyses for efficacy and safety endpoints.

·         TLF (Tables, Listings, and Figures) Programming — Generate high-quality TLF outputs using SAS, adhering to sponsor specifications and global submission standards.

·         Data Validation & Quality Control — Perform end-to-end validation checks to ensure data integrity, consistency, and readiness for submission.

·         Automation & Standard Libraries — Build reusable macros, libraries, and templates to streamline programming and reduce cycle time.

·         Regulatory Compliance & Submission Readiness — Support clients in meeting CDISC, FDA, and ICH data submission requirements with complete audit trails and documentation.

Our team combines deep domain expertise in SAS programming, statistical analysis, and clinical data standards with the power of Python, R, and cloud platforms (Azure, AWS, GCP) to deliver scalable, efficient, and compliant data solutions.

At innoDAX, we don’t just code datasets — we engineer intelligence into every step of clinical data transformation, helping organizations achieve faster submissions, higher quality, and greater confidence in their clinical outcomes.