Science Technology
Our teams apply modern engineering and product methods to accelerate biological research. We support the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century.
Not your typical tech job
We approach problems differently. We stay close to problems on the ground and the scientists that lead them. We work toward impact, rather than profit. Our team combines experience in both industry and academia to innovate and promote best practices in software and product development.
Meta
Meta is a tool that helps scientists discover biomedical research. Meta goes beyond search by using artificial intelligence to discover, rank, and deliver articles in real-time within personalized feeds. Meta organizes and tracks over 67 million researchers, biomedical diseases, genes, proteins, pathways, and more — including full coverage of PubMed and preprints from bioRxiv. Reserve a Meta account today, learn more about how it works, or explore our other work in this area.
IDseq
IDseq is a collaborative project with the Chan Zuckerberg Biohub focusing on infectious disease detection and discovery. Methods to detect infectious disease through sequencing are becoming cheaper, but the computational cost and data analysis are a barrier for global adoption. IDseq’s goal is to provide computational power, training, and data exploration tools to researchers and clinicians around the world, so that everyone can leverage the value of sequencing data and benefit from the shared insights that result.
Human Cell Atlas
The Human Cell Atlas is a global project to create a reference map of all human cell types. Powerful new methods that generate data at single-cell resolution have recently made this audacious goal possible. We’re helping build the Data Coordination Platform, the service that will host and analyze the HCA data sets and make them freely available for anyone to use. Our team partners closely with leading computational biologists and infrastructure engineers at EMBL-EBI, UCSC, and the Broad Institute.
Starfish
Starfish is a collaborative project focused on image-based transcriptomics. This exciting technology makes it possible to characterize the high-resolution spatial pattern of gene expression in cells and tissues — which will be important for the Human Cell Atlas. In collaboration with the Allen Institute, the CZ Biohub, and many other groups, CZI is helping develop standard formats and analysis pipelines for this assay and implementing them in a robust, scalable, open-source package.
Other projects
We’re working on a variety of other projects spanning image analysis, data visualization, algorithm implementations, and more. We embrace a collaborative approach that complements our grant programs and supports scientific communities, and we’re passionate about open source and open science. Visit our Github organization to browse projects we’re working on.