10x Genomics
Mastering Biology to Advance Human Health
About 10x Genomics
Funding & Growth
✓ Pros
- • Leader in single-cell technology
- • Innovative products and science
- • Strong engineering culture
- • Good equity compensation
- • Growing product portfolio
✗ Cons
- • Stock volatility
- • Growing pains as company scales
- • Pleasanton location (East Bay)
- • Competitive market pressure
🏢 Working Here
10x Genomics in Pleasanton, CA (Bay Area) offers a unique environment where computational biologists directly impact product development.
Unlike pharma research, you're building tools and platforms that thousands of scientists worldwide will use.
Teams include Algorithm Development (improving Chromium analysis software), Product Applications (supporting customers with challenging datasets), and Software Engineering (building visualization and analysis platforms).
The pace is startup-fast with quarterly product releases.
Collaboration with instrument engineers and molecular biologists is constant.
Work involves analyzing data from novel assay types - single-cell RNA-seq, ATAC-seq, multiome, spatial transcriptomics (Visium, Xenium).
The customer-facing nature means your algorithms must be robust and well-documented.
Pleasanton location offers lower cost of living than SF while remaining in the Bay Area ecosystem.
Culture is science-driven, with many PhD scientists in leadership.
🧬 Bioinformatics Focus
10x Genomics' computational efforts center on maximizing biological insights from their instruments. Key areas:
- Single - cell RNA-seq analysis - Cell Ranger pipeline for clustering, cell type identification, and trajectory analysis,
- Spatial transcriptomics - Spaceranger for analyzing Visium data, integrating histology images with gene expression,
- ATAC - seq for chromatin accessibility,
- Multi - omic integration - joint analysis of RNA, ATAC, proteins, and antigen receptors from the same cells,
- Xenium in situ technology - analyzing high-plex RNA imaging data. Computational challenges include scaling algorithms to millions of cells, reducing batch effects, developing reference-free clustering methods, and creating interpretable visualizations. The team publishes methods papers in Nature Biotechnology, Genome Biology, and maintains open-source tools (Loupe, Cell Ranger) used by >10,000 labs. Customer datasets span immunology, neuroscience, cancer, and developmental biology.
📈 Career Growth & Development
Career Paths
Computational Biology Track
Software Track
Development
Professional development includes presenting at conferences, contributing to application notes, and mentoring new scientists. 10x values both deep technical expertise and customer interaction skills.
Compensation
Equity compensation is significant as a public company (NASDAQ: TXG) with regular RSU grants.
Mobility
Internal mobility is common - algorithm developers may move to product applications or vice versa.
Expertise
The specialized expertise in single-cell analysis is highly transferable across biotech.
Network
Alumni often join other single-cell/spatial companies (Parse, Vizgen, Regenxbio) or academic core facilities.