Lucas Glass
About
Lucas Glass is from Greater Philadelphia. Lucas is currently Head of Artificial Intelligence at Royalty Pharma, located in New York, New York, United States. In Lucas's previous role as a Senior Vice President of Technology at IQVIA, Lucas worked in King of Prussia, Pennsylvania, United States until Apr 2026. Prior to joining IQVIA, Lucas was a Vice President of Artificial Intelligence at IQVIA and held the position of Vice President of Artificial Intelligence at Plymouth Meeting, Pennsylvania, United States. Prior to that, Lucas was a Global Head, Analytics Center of Excellence at IQVIA, based in Greater Philadelphia Area from Sep 2018 to Jan 2021. Lucas started working as Global Analytics Lead at IQVIA in Greater Philadelphia Area in Jan 2017. From Jun 2015 to Jan 2017, Lucas was Manager, Data Science at IQVIA, based in Plymouth Meeting, Pennsylvania. Prior to that, Lucas was a Managing Director - Statistician at Routine Recovery LLC from Oct 2012 to Jun 2015. Lucas started working as Data Scientist at TTC llc in Philadelphia, PA in Nov 2011.
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Lucas Glass's current jobs
I’m Head of AI at Royalty Pharma (Nasdaq: RPRX), the world’s leading funder of biopharmaceutical royalties. I lead the development of the company’s AI function — translating cutting-edge AI into high-impact tools for investment research, deal structuring, and portfolio management.
Lucas Glass's past jobs
Leading Enterprise Architecture, Domain Architecture, and Platform Engineering. Driving a developer first mindset across IQVIA.
Lead the development, deployment, and operationalization of data science technologies for the R&D space.
Manage the machine learning, statistical methodology, and statistical programming staff within the Analytics Center of Excellence. Built a team of ~100 data scientists from the ground floor. Oversee the technical stack, recruiting, and training. Manage and develop deep learning and other machine learning algorithms dedicated to the improvement and efficiency of clinical operations. Establish thought leadership, research, and publications within the clinical operations marketplace.
Manage and develop deep learning and other machine learning algorithms dedicated to the improvement and efficiency of clinical operations. Establish thought leadership, research, and publications within the clinical operations marketplace.
-Data Scientist. -Analyze clinical grants for inefficiencies within the sponsor’s cost structure. -Perform empirical analyses on client protocol designs and patient level clinical trial data. -Represent the operations team in sales meetings. -Managed operations personnel.
-Developed statistical models for clinical trial costs across the GrantPlan database including over data from over 70 pharmaceutical company sources. -Performed statistical analyses on client clinical trial grants and protocols to improve efficiency of clinical operations. -Developed new biopharma drug development products.
-Developed Statistical techniques to demonstrate and prove fraud within pharmaceutical healthcare fraud cases. -Developed econometric models for damages in the multibillion dollar Pfizer, AstraZeneca, J&J, and other unannounced cases. -Designed data mining techniques for fraud detection within Medicare databases. -Analyzed Medicare Part A, Part B, and Part D databases.
-Designed clinical and drug safety software. -Data Management: SQL Server, Access, SAS. -Conducted Integrated Summaries. -Sold RiskMetrics products and services. -Managed personnel, finances, and client relationships.
-Designed and implemented Multi Gamma Poisson Shrinkage statistical signaling programs for pharmaceutical companies. -Designed and implement risk management tracking and monitoring systems using DAWN, TESS, and other datasets. -Evaluated and refined data-mining techniques for use in Halo®. -Supported the chief scientist. -Sat in as drug safety content expert during internal and external business development meetings.