Carlos De Niz is a Staff Scientist in Boston with a PhD-trained background in bioinformatics and over a decade of technical experience focused on cancer genomics, biomarker discovery, and applied machine learning. At Caris Life Sciences he has progressed from data scientist to staff scientist leading NGS variant analysis, pharmacogenomics applications, and DevOps-driven pipeline development for clinical profiling and population stratification. His work bridges academic rigor from a Harvard DBMI research fellowship with practical industry impact, translating genomic signals into actionable therapy assessment. Earlier roles in engineering and internships at IBM and Philips reflect a rare combination of electrical engineering discipline and computational biology expertise. He is notable for moving seamlessly between hands-on pipeline engineering and statistical genomic analysis, enabling reproducible bioinformatics workflows used in clinical research.
8 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Computer Engineering - Bioinformatics, Doctor of Philosophy (PhD) Electrical and Computer Engineering - Bioinformatics at Texas Tech University
Electronics Engineer Biomedical/Medical Engineering, Electronics Engineer Biomedical/Medical Engineering at Tecnologico de Morelia
Contributions:25 commits, 12 pushes in 1 year 6 months
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