Paul Phillips
About Paul Phillips
Paul Phillips is the Director of Clinical Data Analytics and Technical Solutions at Alkermes in Dublin, Ireland, with extensive experience in IT, statistical programming, and data management within the pharmaceutical industry.
Company
Paul Phillips is currently working at Alkermes as the Director of Clinical Data Analytics and Technical Solutions. Alkermes is located in Dublin, Ireland. The organization is known for its focus on the development of pharmaceutical products.
Title
Paul Phillips holds the title of Director, Clinical Data Analytics and Technical Solutions. In this role, he oversees the management and analysis of clinical data, ensuring technical solutions are effectively implemented.
Previous Roles at Novartis
Paul Phillips has worked in multiple capacities at Novartis, including Associate Director from 2014 to 2017, Associate Director Programming from 2012 to 2014, and Senior Systems Consultant - Business Applications from 2010 to 2011. His tenure at Novartis was marked by significant contributions in Basel, Switzerland.
Experience at Pfizer
Paul Phillips' extensive experience at Pfizer includes roles such as Manager from 2001 to 2009 and Clinical Software Developer \\ Sas Consultant from 1998 to 2001. His work at the New York, United States location involved significant contributions in clinical software development and statistical analysis.
Education and Expertise
Paul Phillips earned a Bachelor of Science degree from the University of Rhode Island, where he studied Computer Science and Statistics. His expertise includes proficiency in data visualization tools such as Tableau and Spotfire, and a strong foundation in CDISC Standards and Validation.
Background in Statistical Sciences
With a background in Statistical Sciences, focusing on Computer Science, Mathematics, and Statistics, Paul Phillips has a demonstrated history of working in IT, Statistical Programming, and Data Management/Sciences within the pharmaceuticals industry. His skill set is enhanced by his comprehensive understanding of data standards and validation processes.