Clinical Data โ€ข AI โ€ข Healthcare Analytics

Charan Tej Gayapu

Certified Clinical Data Manager (CCDMยฎ) with 12+ years of clinical data management expertise across the biotechnology, biopharmaceutical, and CRO industries. Currently Associate Director, Data Management at Intra-Cellular Therapies, supporting treatments for complex psychiatric and neurologic diseases โ€” with active research on safe integration of AI/LLMs into clinical workflows.

About Me

Bridging Clinical Research and Artificial Intelligence

I am a Certified Clinical Data Manager (CCDMยฎ) with over 12 years of comprehensive clinical data management experience spanning biotechnology, biopharmaceutical, and CRO organizations. I currently serve as Associate Director, Data Management at Intra-Cellular Therapies, a company delivering treatments for people living with complex psychiatric and neurologic diseases.

Previously, I was Principal Data Manager at Shionogi Inc. My work spans end-to-end data management for global clinical trials โ€” EDC, data quality, medical coding, and CDISC standards โ€” alongside applied research on the safe, risk-managed integration of AI and large language models into clinical workflows.

  • Current role: Associate Director, Data Management โ€” Intra-Cellular Therapies
  • Experience: 13+ years in clinical data management (biotech, biopharma, CRO)
  • Credentials: CCDMยฎ (SCDM) ยท SAS Base Certified ยท B.Pharm
  • Focus areas: CNS / psychiatric & neurologic trials, EDC, CDISC standards, AI/LLM safety in clinical workflows
  • Location: Aubrey, Texas, USA
Expertise

Areas of Specialization

Deep domain knowledge across the clinical data lifecycle and modern AI tooling.

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Clinical Data Management

End-to-end CDM: CRF design, edit checks, query management, database lock across Phase Iโ€“IV.

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Artificial Intelligence

AI systems for clinical data review, anomaly detection, and intelligent automation.

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Machine Learning

Supervised & unsupervised ML, NLP for medical coding, predictive modeling on trial data.

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Clinical Trials

GCP-compliant trial operations, protocol review, risk-based data monitoring.

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CDISC Standards

SDTM & ADaM implementation, define.xml, controlled terminology, submission readiness.

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MedDRA & WHODrug

Medical coding, dictionary management, coding consistency review and automation.

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SAS / Python / R

Statistical programming, data pipelines, validation, and reproducible analytics.

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Healthcare Analytics

Real-world evidence, data visualization (Power BI, Tableau), regulatory compliance (21 CFR Part 11).

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