Kumuda S Nayak
About Kumuda S Nayak
Kumuda S Nayak is a Data Manager currently working at BeiGene and Ecron Acunova, with over 15 years of experience in data management and clinical data analysis.
Current Position at BeiGene
Kumuda S Nayak currently holds the position of Data Manager at BeiGene. She has been working there since December 2018, based in Emeryville. BeiGene is a biotechnology company that focuses on the development of innovative oncology treatments. With over 15 years of experience in data management and clinical data analysis, she brings a wealth of knowledge and expertise to her role.
Current Position at Ecron Acunova
Kumuda S Nayak also serves as a Project Data Manager at Ecron Acunova, located in Bengaluru Area, India. Here, she is responsible for overseeing data management projects, ensuring data integrity, and implementing data management protocols. Her role significantly contributes to the success of the clinical trials and research conducted by the organization.
Previous Experience at Chiltern
Before her current roles, Kumuda S Nayak worked at Chiltern as a Clinical Data Analyst III. During her three-year tenure from 2007 to 2010 in the Bengaluru Area, India, she was responsible for analyzing clinical data, ensuring data quality, and maintaining regulatory compliance. Her role involved collaborating with various stakeholders to facilitate smooth clinical data operations.
Previous Experience at inVentiv Health Clinical
From 2004 to 2007, Kumuda S Nayak worked at inVentiv Health Clinical as an Associate Data Technician. In this role, she focused on data entry, data verification, and assisting with clinical trial data management. Her contributions were critical to the accuracy and reliability of the clinical data collected during this period.
Education at Bangalore University
Kumuda S Nayak pursued her higher education at Bangalore University, where she studied Mathematics, Physics, and Chemistry. She obtained her Bachelor of Science (B.Sc.) degree, completing her studies from 1999 to 2002. This academic background provided her with a solid foundation in scientific principles and analytical skills, which she has applied throughout her career in data management and clinical research.