Jennifer Pacheco, MS
Jennifer Pacheco serves as Senior Health Data Phenotyper in CB2 working closely with the Banner Research Warehouse team and other clinical partners to enable rapid and accurate delivery of research data for University of Arizona researchers. Jennifer is responsible for the full stack of design, improvement/implementation and maintenance of digital phenotyping tools and methods; develop training materials to improve phenotype expertise across UA; and, oversee improvements in research data access across the Banner/UA collaboration.
Jennifer Pacheco has a bachelor’s degree in computer science with a minor in psychology, a post-baccalaureate certificate in biology, a graduate certificate in bioinformatics, and in 2020 graduated with a master’s degree in biomedical informatics. Jennifer is an experienced health data phenotyper who uses a variety of data science tools, technologies and programming languages to mine EHR (electronic health record) and other health data for biomedical research; including, AI (artificial intelligence) such as ML (machine learning), and other data mining techniques.
After graduating with her bachelor’s, she traveled around the world for almost 5 years as a data mining consultant for one of the leading global consulting companies based in Chicago. Subsequently, she worked several years for a Cambridge, MA, pharmaceutical company where she developed dynamic web pages and configured scientific software. Most recently, she led informatics and phenotyping for over 20 years at the Center for Genetic Medicine at NU (Northwestern University) in Chicago for approximately 100 phenotypes for: the NUgene project (DNA biobank for which she also led the technical operations); the national eMERGE (electronic Medical Records and Genomics) network for which she is the co-chair of the QA/QC (Quality Assurance/Quality Control) Task Force; HeartShare (national heart failure study); and several other international collaborations. As a result of her work at NU, she is lead author of several medical informatics articles and co-author on over 100 publications. She is an active member of the AMIA (American Medical Informatics Association) and MCBK (Mobilizing Computable Biomedical Knowledge) communities.
