Viraj Garg

At UNC School of Medicine's Department of Vascular Surgery, I coordinate 10 concurrent vascular medical device studies, aligning investigators, sponsors, and clinical teams around timelines, documentation, and deliverables.

I've improved patient recruitment by 25–40% through clinical workflow analysis and collaboration with physicians and clinical teams. My work includes reconciling and validating information across clinical records, protocols, CTMS and EDC systems, resolving discrepancies, and maintaining study trackers.

At Rutgers University, I developed machine-learning models in JMP and Jupyter Notebook to analyze biological datasets for tuberculosis drug discovery. I documented analytical workflows and translated quantitative findings into clear insights for multidisciplinary teams.

Previously at the NIH Vaccine Research Center, I supported rapid-response infectious disease and immunology research through epitope mapping, data analysis, rigorous documentation, and clear scientific communication.