Supriya Pothuru

I’m a senior clinical data integration professional with 5+ years of experience delivering CDISC-compliant data integrations and managing third-party vendor workflows. I focus on accuracy, format compliance, and proactive issue resolution so external data lands on time and in-study expectations are met.

In my current Data Integration Analyst role, I design and maintain Data Transfer Specifications (DTS) for clinical studies and development units, authoring documentation with standardized templates and CDISC compliance requirements. I serve as the primary technical liaison between clinical data management and vendors—guiding integrations, answering technical queries, and ensuring data accuracy and completeness through vendor and stakeholder interactions.

Previously, as a Clinical Data Programmer at SAAMA Technologies, I worked on patient data mapping and ingestion using Python-based AI/Machine learning tools, including CDH (Clinical Data Hub) and SAM (Smart Auto Mapper). I used SAS and Python to create and validate SDTM datasets following client documentation and SDTMIG, handling transformations from raw layers forward, performing data cleansing and validation, and supporting end-to-end validation across sources like EDC, CTMS, IVRS, Central Lab, and non-eCRF data.

Earlier in my career, I worked as a Content Analyst handling inventory valuation and spend analysis for pharmaceutical clients. Across all roles, I’ve strengthened my ability to onboard new study and vendor sources, develop transformation maps, build logical and physical data models with high data quality, and support inspection readiness through documentation, eTMF, data locking, and archival.