NEOGOV
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.
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NEOGOV
Serving over 6,000 organizations, NEOGOV is the leading provider of a comprehensive human capital management solution for the public sector. Designed exclusively for government agencies and higher ed institutions, NEOGOV’s suite of three integrated modules–– Recruit, Develop, and Manage–– support the unique needs of public sector HR teams andautomate the entire employee lifecycle, while maintaining the highest standards of compliance. More information at www.neogov.com.