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Jason Yang is an accomplished Data Scientist with a strong background in biomedical informatics and bioengineering. Currently employed at NEOGOV since December 2019, Jason develops data visualization tools and conducts experiments to enhance job application processes, utilizing data analytics to inform product roadmaps. Previous experience includes optimizing bioinformatics pipelines at Quantgene, implementing machine learning algorithms for cancer detection, and consulting on data irregularity detection at Livongo. Early roles involved research assistance at Stanford University School of Medicine, where Jason contributed to immunology studies. Educational qualifications include a Master of Science in Biomedical Informatics and a Bachelor of Science in Bioengineering, both from Stanford University.