Jagannathan Muthu
About Jagannathan Muthu
Jagannathan Muthu serves as the Head of Clinical Data Management Services at Ephicacy, where he specializes in clinical applications and regulatory inspections. He has extensive experience in clinical data management and has worked with numerous prominent clients in the pharmaceutical industry.
Current Role at Ephicacy
Jagannathan Muthu serves as the Head of Clinical Data Management Services at Ephicacy, a position he has held since 2021. In this role, he oversees clinical data management operations, ensuring compliance and quality in clinical trials. He acts as a key contact for regulatory inspections and audits, facilitating communication between study teams and regulatory bodies.
Education and Expertise
Jagannathan Muthu holds a Bachelor of Science degree in Computer Technology from Government College of Technology, Coimbatore, which he completed from 1985 to 1988. He has furthered his education with programs from ThePowerMBA, MIT Sloan Executive Education, and The Wharton School, focusing on organizational design for digital transformation and business analytics.
Professional Experience
With over 18 years of experience at InnovaClix, Jagannathan has held multiple positions since 2006. His expertise encompasses clinical applications such as EDC, CTMS, IRT, LAB, and Safety. He has developed GxP compliant documents and managed system testing life cycles in GxP environments, adhering to applicable SOPs.
Client Engagements
Jagannathan Muthu has collaborated with a diverse range of clients, including major pharmaceutical companies such as Incyte, Johnson & Johnson, GSK, and Merck. His work also extends to academic institutions like the University of Pennsylvania and government agencies, demonstrating his extensive involvement in the clinical data management sector.
Clinical Data Management Standards
Jagannathan has implemented CDASH and SDTM standards in clinical data management, contributing to the enhancement of data reporting and dashboard functionalities. His domain experience includes CRF design, edit checks, and custom functions, which are critical for maintaining data integrity in clinical trials.