Shweta Chavan is a Clinical Data Management Specialist and bioinformatics engineer with 9 years of experience applying software development and cloud engineering to clinical and genomics data workflows. She has led Veeva CDMS operations and reporting at Merck while building and automating NGS pipelines and Java microservices for RNA sequence analysis in industry settings. Comfortable across Python, R, Java, AWS and Azure, she bridges clinical regulatory requirements (21 CFR Part 11, GxP, ICH) with scalable data engineering—designing SDTM-like datasets, integrations (PK, eCOA, IRT) and automated discrepancy investigations. Her background spans healthcare data standardization (OMOP/PCORnet), HIPAA-preserving linkage, and production microservices, reflecting a rare mix of clinical operations, bioinformatics, and embedded/devops experience. Known for mentoring teams, rigorous documentation, and rapid learning, she also brings hands-on assay-level insight from developing high-throughput sequence alignment and de novo assembly tools. Based in Philadelphia, she combines domain-savvy regulatory discipline with practical cloud-native engineering to deliver auditable, production-ready clinical data solutions.
9 years of coding experience
9 years of employment as a software developer
Diploma, Industrial Electronics, Diploma, Industrial Electronics at Shivaji University
MSEE, Electrical, Electronics and Communications Engineering, MSEE, Electrical, Electronics and Communications Engineering at The George Washington University
B.S, Electronics and Telecommunication, B.S, Electronics and Telecommunication at Bharati Vidyapeeth
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Shweta Chavan - Clinical Data Management Specialist