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Jinae Lee

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Associate Director of the Statistical Consulting Center
Academic Professional

Before joining UGA, I conducted vaccine-related research by leading clinical trial projects within the Biostatistics and Data Management Department at the International Vaccine Institute (IVI), a United Nations-affiliated NGO dedicated to promoting global health through vaccine research. My primary responsibilities included writing grant proposals, collaborating with various teams, and overseeing projects from study initiation to completion. This involved study design, sample size calculation, data analysis, result reporting, writing statistical sections for study protocols and clinical study reports, training junior statisticians, and authoring scientific papers. Additionally, I visited several underdeveloped regions, such as Africa, Nepal, and Pakistan, to assess their suitability for clinical studies and supervised local researchers through weekly conference calls. My research projects primarily focused on Human Papillomavirus, Hepatitis E virus, Hepatitis B virus, Cholera, Chikungunya virus, Typhoid fever, and Coronavirus disease. 

Prior to my role at IVI, I honed my clinical research as a Director in Clinical Research Organizations, which provide clinical trials and related services for pharmaceutical drug development. In this capacity, I spearheaded data management, electronic data capture (EDC) systems, and statistical work for Phase I to III trials, Post-Market Surveillance, and observational studies, ensuring compliance with national and international standards and regulatory guidelines. I led the development of a new safety database system and an E-diary solution (electronic patient-reported outcomes) by managing the EDC team. My role also involved overseeing more than 25 staff members across four teams, including recruitment responsibilities. 

I began my career as a Research Assistant Professor in the Biostatistics Collaboration Unit at Yonsei University College of Medicine. Over a period of 5 years, I collaborated with physicians and scientists on biomedical research, culminating in the completion of over 500 research projects. My responsibilities included consultation, data analysis, study design, grant proposal writing, hiring and training junior statisticians, curriculum development, and teaching data analytic techniques using R, SAS, and SPSS alongside statistics courses. Notably, I conducted summer and winter statistical workshops (data camps) for the medical school and taught Biostatistics using SPSS to international students at the Graduate School of Public Health. 

Experience

  • Research Scientist/Lead of Biostatistics and Data Management, Dept. of Biostatistics and Data Management, International Vaccine Institute, 2021-2023
  • Director, Biometrics Department, DreamCIS Ltd., 2019-2021
  • Manager, Statistics Department, Synex Consulting Ltd., 2019
  • Research Assistant Professor, Biostatistics Collaboration Unit, Yonsei University College of Medicine, 2014-2019
  • Postdoctoral Researcher/Researcher, Functional MRI data analysis group, University of Georgia, 2008-2014
  • Biostatistician, Biostatistics Consulting Center, College of Public Health/ Environmental Health Science, University of Georgia, 2008-2009
  • Biostatistician, Clinical Claims division, Johnson & Johnson Vision Care, Summer 2007
  • Senior Consultant, Statistical Consulting Center, SookmyungWomen’s University, 2001-2002

Ph.D. in Statistics, University of Georgia, 2013

M.S. in Statistics, University of Georgia, 2006

B.S. in Statistics, SookmyungWomen’s University, Seoul, Korea, 1999

Research Interests:
  • Statistical Consulting, Statistical Practices
  • Biomedical Research Methodology, Healthcare Research
  • Clinical Trials, Medical Device Research, Vaccine Research, Observational Research
  • Public Open Data (Healthcare Big Data, Claim Data, Education Open Data)
  • Biostatistics, Survival Analysis, Biomarker Identification, Cancer Research
  • Epidemiology, Infectious Disease Research, Environmental Health Science Research
  • Real-World Evidence, Systematic reviews and meta-analyses
  • Nonparametric Methods
  • Microsatellite Instability and Programmed Cell Death-Ligand 1 Expression in Stage II/III Gastric Cancer: Post Hoc Analysis of the CLASSIC Randomized Controlled Study, Annals of Surgery 2019
  • Predictive test for chemotherapy response in resectable gastric cancer: a multi-cohort, retrospective analysis, Lancet 2018
  • Clinicopathological and prognostic significance of programmed death ligand-1 expression in breast cancer: a meta-analysis, BMC Caner, 2017
Courses Regularly Taught:

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