SOPHiA GENETICS sets up headquarters in Boston to meet growing demand in the US

Press Release

Published on 09/24/2018

3 min read

Durham – North Carolina, USA, September 24th, 2018: SOPHiA GENETICS, leader in Data-Driven Medicine, today announced from the Personalized Medicine World Congress (PMWC) at Duke University that the company has opened operations in Boston to meet the burgeoning demand across the United States.

SOPHiA AI (SOPHiA) is the most widely used technology for genomic analysis, adopted by hundreds of university hospitals worldwide. SOPHiA has already analyzed over 250,000 genomic profiles – currently one every five minutes! Utilized in the context of hereditary disorders and cancer, SOPHiA enables clinicians to accurately detect and characterize genomic alterations. Through the company’s platform, experts can unite across borders and use their shared knowledge to efficiently deliver faster outcomes.

In the United States, SOPHiA GENETICS is already supporting more than 100 university hospitals and is rapidly expanding across the region. The company’s impact has long been recognized overseas as the global forerunner in Data-Driven Medicine. SOPHiA GENETICS is currently ranked as one of the 50 smartest companies in the world by the MIT Tech Review.

Jurgi Camblong, CEO and co-founder of SOPHiA GENETICS, commented: “We are experiencing a wide and fast adoption of our technology in North America and are very happy to open our U.S. headquarters in Boston and strengthen our team to support customers’ needs. We currently have 20 people working in the U.S. and we will be expanding to 50 within a year’s time.”

Lars Steinmetz, co-founder of SOPHiA GENETICS and professor at Stanford University added: “When we created SOPHiA GENETICS, we never expected to have such an impact worldwide. Thanks to the expertise and quality delivered by SOPHiA’s dedicated team of experts and its standardized technology SOPHiA, the company has earned the trust of the global genomics community, which is so important to truly accelerate the democratization of Data-Driven Medicine.”

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