Jina Song
Bioinformatics Data Scientist
Mountain View, California, United States
Summary
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Top SchoolJina Song is a bioinformatics data scientist with eight years of experience building cloud-native genomics pipelines and scalable data architectures, currently applying those skills at MEDIC Life Sciences in Mountain View. Her background blends a PhD-level foundation in computational systems biology with hands-on roles as a big data architect at Stanford Medicine, where she optimized cost-efficient variant calling and biobank-scale analysis using GCP, Hail, and BigQuery. She has a strong track record in computational modeling and machine learning from academic and research positions—developing agent- and rule-based models, global optimization methods, and motif/discovery tools for cancer genomics. Comfortable bridging research and production, she uniquely combines analog/digital engineering roots with genomics data science, enabling robust, reproducible pipelines for drug-target discovery. Known for squeezing cloud costs while scaling analyses, she brings both deep domain knowledge and practical engineering discipline to large-scale genomic projects.
7 years of coding experience
16 years of employment as a software developer
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Ewha Womans UniversityDoctor of Philosophy (PhD), Electrical Engineering / Computational Systems Biology, Doctor of Philosophy (PhD), Electrical Engineering / Computational Systems Biology at North Carolina State University
English, Korean
Github Skills (4)
nodes7
kubernetes3
terraform3
google-cloud-dataproc3
Programming languages (1)
Github contributions (5)
va-big-data-genomics/trellis-mvp-analysis
Sep 2019 - Oct 2019
Contributions:1 push, 1 branch in 19 days
jina-song/gatk-fivedollar
Oct 2018 - Oct 2018
Contributions:3 pushes, 1 branch in 1 day
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