Divya Nair
About Divya Nair
Divya Nair is an Associate Knowledge Partner Expert at Innoplexus, where she has worked since 2018. She has a strong academic background in bioinformatics, biotechnology, and structural biology, complemented by her experience in clinical trial data analysis.
Current Role at Innoplexus
Divya Nair serves as an Associate Knowledge Partner Expert at Innoplexus, a position she has held since 2018. In this role, she focuses on enhancing data quality assurance in the fields of genomics and proteomics. Her responsibilities include clinical trial data analysis, which contributes to the accuracy and reliability of research outcomes. Based in Pune, India, she plays a crucial role in supporting the company's data-driven initiatives.
Previous Experience at Indian Institute of Technology Gandhinagar
Prior to her current role, Divya Nair worked as a Post Doctoral Fellow at the Indian Institute of Technology Gandhinagar from 2014 to 2015. During her one-year tenure, she engaged in research that leveraged her background in structural biology, bioinformatics, and biotechnology. This experience further solidified her expertise in scientific research and data analysis.
Educational Background in Biotechnology and Bioinformatics
Divya Nair holds a Doctor of Philosophy (Ph.D.) in Biotechnology from Savitribai Phule Pune University, which she completed from 2008 to 2013. She also earned a Master's Degree in Bioinformatics from Dhanalakshmi Srinivasan College of Arts and Science for Women, studying from 2003 to 2005. Additionally, she obtained a Bachelor's Degree in Physics from NSS Hindu College Changanachery, where she studied from 2000 to 2003. Her educational background provides a strong foundation for her expertise in the life sciences.
Expertise in Structural Biology and Data Analysis
Divya Nair possesses a robust background in structural biology, which complements her skills in bioinformatics and biotechnology. She has developed strong capabilities in clinical trial data analysis, which enhances the accuracy and reliability of research outcomes. Her expertise extends to genomics and proteomics, where she contributes to data quality assurance, ensuring high standards in scientific research.