Martin Sosa (Jose)

Director, Field Service And Support at Ultima Genomics

Martin (Jose) Sosa has worked in various roles and companies throughout their career.

Martin (Jose) began their work experience as a Research Assistant at the Microfluidics and Microfabrication Laboratory at Tulane University in 2009. After that, they became a Teaching Lab Assistant at Tulane University from January 2012 to May 2012.

In 2012, Martin joined Life Technologies, Ion Torrent as a Systems Engineer, where they worked until November 2014.

Martin (Jose) then moved to Cambrian Genomics and worked as a Staff Scientist from November 2014 to June 2015.

After that, they joined Abbott as a Systems Integration Lead in June 2015, and they worked there until November 2017.

In 2017, Martin joined Ultima Genomics, where they held multiple roles. Martin (Jose) started as a Systems Engineer from November 2017 to June 2018. Martin (Jose) then became a Systems Engineering Manager from June 2018 to June 2020. Later, they served as a Director of Systems Engineering from June 2020 to September 2021. Currently, they hold the position of Director of Field Service and Support at Ultima Genomics.

Throughout their career, Martin has gained experience in various aspects of field service, support, systems engineering, and research.

Martin (Jose) Sosa pursued their education in the field of Biomedical Engineering. Martin (Jose) completed their Bachelor of Science in Engineering (B.S.E.) degree at Tulane University from 2007 to 2011. Following this, they went on to earn a Master of Science in Engineering (M.S.E.) degree also at Tulane University, which they completed from 2011 to 2012.

Location

San Jose, United States

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Ultima Genomics

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Ultima Genomics is unleashing the power of genomics at scale. Their mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. With humanity on the cusp of a biological revolution, there is a virtually endless need for more genomic information to address biology’s complexity and dynamic change—and a further need to challenge conventional next-generation sequencing technologies.


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11-50

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