Summary
Silvia Chang is a bioinformatics scientist with 11 years of multidisciplinary experience applying computational and laboratory skills to drug development and genomic research. At Gilead Sciences she progressed from associate to scientist roles, bridging bioinformatics, process engineering, quality control, and R&D to advance therapeutic programs. Trained at Johns Hopkins in bioinformatics and with a BS in biochemistry from UT Austin, she is proficient in Perl, Python, R, Java, Unix tools and relational databases, and familiar with front-end technologies. Her background in analytical instrumentation, GMP manufacturing, and lipid nanoparticle formulation gives her a rare combination of hands-on wet-lab and production expertise alongside computational genomics. Known for process improvement (Lean/Six Sigma) and cross-functional project leadership, she thrives on turning complex biological data into actionable insights that accelerate translational research.
11 years of coding experience
14 years of employment as a software developer
B.S. Biochemistry, B.S. Biochemistry at The University of Texas at Austin
Johns Hopkins University
Spanish, Chinese