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10x Genomics Email Format
Biotechnology Research
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1,001-2,500 employees
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Pleasanton, CA, USA
10x Genomics is a biotechnology company that develops single cell, spatial, and in situ genomic analysis tools for researchers in oncology, immunology, neuroscience, and other life sciences.
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first.last@10xgenomics.com
Company Overview
Industry
Biotechnology Research
Founded
2012
Headquarters
Pleasanton, CA, USA
Revenue
$500M-$1B
FUNDING Stage
Public
Website
Key Executives
Serge Saxonov (Chief Executive Officer, Co-founder), Adam Taich (Chief Financial Officer), James Goodrich (Chief of Global Operations)
Tech Stack
Key Executives
4.9/5 on G2
40K+ GTM professionals
SOC 2 Type II certified
Frequently Asked Questions
What is the email format of 10x Genomics?
10x Genomics uses the first.last format, so Jane Smith would be jane.smith@10xgenomics.com.
What are the three main instrument platforms that 10x Genomics offers researchers?
10x Genomics offers three core platforms: Chromium for single cell analysis, Visium for spatial transcriptomics, and Xenium for high-throughput in situ subcellular mapping of up to 5,000 genes. The company also launched Atera, a new whole-transcriptome spatial biology platform, in 2026.
How can I find the right 10x Genomics sales contact for my institution?
You can use a tool like Clay to look up and verify 10x Genomics contacts by name, role, or region, helping you reach the right person for instrument demos, pricing, or support before you send outreach.
Who co-founded 10x Genomics and still leads the company today?
Serge Saxonov co-founded 10x Genomics in 2012 and continues to serve as its CEO. Adam Taich serves as Chief Financial Officer and James Goodrich leads global operations.
What research areas does 10x Genomics focus on with its spatial biology tools?
10x Genomics spatial biology tools, including Visium, Xenium, and the newly launched Atera platform, support research in oncology, immunology, neuroscience, and developmental biology, enabling scientists to map gene and protein expression within intact tissue at single-cell resolution.
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4.9 rating