Daniel Goodbody

Daniel Goodbody

Sr. Staff Software Engineer @ Singular Genomics

About Daniel Goodbody

Daniel Goodbody is a Sr. Staff Software Engineer at Singular Genomics, where he has worked since 2018, specializing in software solutions for genomic sequencing technologies. He has over a decade of experience in integrating software with hardware systems and previously held positions at Illumina and Fluid Components International.

Work at Singular Genomics

Daniel Goodbody has served as a Senior Staff Software Engineer at Singular Genomics since 2018. In this role, he focuses on developing software solutions tailored for genomic sequencing technologies. His work addresses complex hardware challenges, contributing to the advancement of the company's innovative genomic solutions. Located in San Diego, California, Goodbody has been integral to the software engineering team, leveraging his extensive experience in the field.

Previous Experience at Illumina

Before joining Singular Genomics, Daniel Goodbody worked as a Senior Software Engineer at Illumina from 2016 to 2018. His tenure at Illumina allowed him to further enhance his skills in software development within the genomic sequencing industry. This experience contributed to his understanding of the integration of software and hardware systems, which he applies in his current role.

Background in Software Engineering

Daniel Goodbody began his career as a Software Engineer at Fluid Components International, where he worked from 2012 to 2016. This four-year experience provided him with foundational skills in software development and integration with hardware systems. His background in software engineering spans over a decade, showcasing his commitment to the field and his ability to tackle complex engineering challenges.

Education and Expertise

Daniel Goodbody earned a Bachelor of Science (BS) in Applied Physics from California State University San Marcos, completing his studies from 2010 to 2013. His educational background has equipped him with a strong foundation in the principles of physics and engineering, which he applies in his software engineering roles. His expertise lies in creating innovative software solutions that enhance genomic sequencing technologies.

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