Abhimanyu Verma
About Abhimanyu Verma
Abhimanyu Verma serves as the Chief Technology Officer at SOPHiA GENETICS and co-founded the Health Hacking Lab, focusing on healthcare innovation through data and technology integration. With over 17 years of experience in the life sciences industry, he has held various leadership roles at Novartis and General Electric.
Current Role at SOPHiA GENETICS
Abhimanyu Verma serves as the Chief Technology Officer at SOPHiA GENETICS since 2022. In this role, he focuses on leveraging technology to enhance data integration and analytics within the healthcare sector. His expertise in data science and technology innovation supports the company's mission to improve patient outcomes through advanced genomic analysis.
Experience at Health Hacking Lab
Verma co-founded the Health Hacking Lab in 2018, where he also serves as a Board Member. The organization is dedicated to healthcare innovation, emphasizing the integration of data and technology to drive improvements in healthcare delivery. His leadership in this nonprofit reflects his commitment to advancing healthcare solutions.
Previous Positions at Novartis
Verma held multiple roles at Novartis, including VP and Head of Data Science and AI Enablement from 2021 to 2022, and Global Head of Real World Evidence and Big Data Solutions from 2015 to 2018. His tenure at Novartis spanned over a decade, during which he contributed to various initiatives aimed at enhancing data capabilities and digital solutions in the pharmaceutical industry.
Educational Background
Verma holds a Master of Science in Pharmaceutical Medicine from Hibernia College, achieved between 2013 and 2015. He also earned an MBA from the Indian School of Business, specializing in Leadership, Technology, and Marketing, in 2004. Additionally, he obtained a Bachelor of Engineering in Electronics from Nagpur University, completed in 1999.
Focus on Healthcare Innovation
Verma has a strong focus on scaling innovation in healthcare by integrating data, science, technology, and process improvements. His extensive experience in the life sciences industry, exceeding 17 years, positions him as a key contributor to advancements in real-world evidence, data science, and AI applications within healthcare.