Summary
Katie Noddin is a Medical Analytics Data Engineer based in Boston with nine years of experience blending epidemiology, analytics, and software development across public and private healthcare settings. She pairs an MPH in Epidemiology with full-stack engineering training to build HIPAA-compliant data pipelines, analytics, and consumer-facing health tools using PHP, R, SAS, SQL, JavaScript and AWS. Katie has driven analytics and integration work at Ovia Health—supporting clinical teams, ROI analyses for enterprise clients, and machine learning pipelines—and now applies that domain expertise at Pfizer. Her background as an epidemiologist at the Massachusetts Department of Public Health informs a pragmatic, surveillance-minded approach to data quality and reporting. Comfortable moving between code, statistical analysis, and stakeholder communication, she also brings practical product experience from real-time public health platforms and survey tooling. Colleagues rely on her to translate clinical priorities into robust, operational analytics solutions.
9 years of coding experience
9 years of employment as a software developer
Software Engineer Immersive Computer Software Engineering, Software Engineer Immersive Computer Software Engineering at General Assembly
Bachelor of Arts (B.A.) Psychology, Bachelor of Arts (B.A.) Psychology at Emmanuel College (Boston)
Master of Public Health (MPH) Epidemiology, Master of Public Health (MPH) Epidemiology at Boston University
Spanish, French