Accelerating Science with Biomedical Technology

We support transformative technologies to advance biomedical science. Working closely with researchers and other experts to understand their challenges, our team builds tools for the scientific community in order to analyze, visualize, and share data. We want to make every scientist a better scientist by improving the tools they rely on every day. Learn about our technology work and view our science technology job opportunities.

Software engineer with glasses and denim jacket working at her laptop computer (Science technology job opportunities).
Software engineer Shannon Axelrod and her team develop tools to help researchers interpret extraordinary amounts of data. Photo by CZI.
Software engineer Shannon Axelrod and her team develop tools to help researchers interpret extraordinary amounts of data. Photo by CZI.
What We Build: Tools for Biomedical Research

New technologies pave the way for discoveries that are reliable, robust, scalable, and shareable. All scientists should have access to the best tools to do their work, and creating and disseminating high-quality tools will improve all of science. 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.

cellXgene logo, pink text with square white on pink icon at left.


Cellxgene allows scientists to explore and visualize high dimensional single-cell datasets to more quickly surface important information that could lead to discoveries in treating disease.

IDseq logo, black and green text with "ID" icon at left.


IDseq is an open source software platform that helps scientists worldwide identify pathogens in metagenomic sequencing data.

Meta logo, with large blue letter "M" on top made up of a network of interconnected dots.


Meta provides a faster way to understand and explore science as it evolves — both broadly and at the level of an individual’s specific research interests. 

Napari logo of kidney-shaped object on a square background, in shades of cyan on purple.


Napari is a community-built, Python-based, open-source tool for browsing, annotating, and analyzing large multi-dimensional images.

Shasta logo, with horizontal blue DNA helix across the top.


Shasta is an in-memory computing-driven algorithm that can complete a de novo human genome assembly in just a few hours.

Starfish logo, with a stylized orange starfish on the left, and the word "fish" on the right.


The open source Python package starfish helps biologists create a scalable image processing pipeline for spatial transcriptomics data. 

How We Build: Collaborating with Researchers

Working at CZI isn’t your typical tech job. We stay close to challenges on the ground and the scientists that lead solutions. We work toward impact, rather than profit. Our team combines experience in industry and academia to innovate and promote best practices in software and product development, applying modern engineering and product methods to accelerate biomedical research. Check out our science technology jobs and join our team.

Applied Research and Application Science

Application scientists collaborate with CZI’s scientific networks, collaborators, and partners to ensure that they can successfully utilize CZI software in their work. With their technical and scientific expertise, they build computational tools and engage with a global community of biomedical researchers, onboarding new scientist users and building a community around our product applications.

Computational Biology

Computational biologists advance our work in single-cell biology, microscopy and medical imaging, metagenomics, neurodegeneration, and more. Computational biologists bring domain expertise in specific biological areas—along with modern computational and statistical methods like data analysis and open-source software—to CZI’s grantmaking and to our grantees. 

Data Science and Analytics

Data scientists design and build data structures, data pipelines, and dashboards that support our tools, working cross-functionally to understand data needs. They also design experiments, collect and analyze data to assess progress, and gain insights to inform the strategy and direction of critical technologies for science. 


Software engineers work closely with collaborative teams of scientists, engineers, product managers, designers, and user experience researchers to build software that accelerates the pace of biological science. For example, engineers on our single-cell biology team build end-to-end software solutions, including petabyte-scale data archives, analysis pipelines, and scientific visualization systems, with a domain focus on molecular and cellular-scale measurement of biological systems.

Product Design

Our in-house technology team consists of smaller product teams working on specific problems. These teams include product managers, engineers, data scientists, product designers, and UX researchers who work together to build tools and platforms that tackle science’s biggest challenges.

Product designers work with product managers, engineers, and scientists to design and build impactful experiences to support the science and technology that will make it possible to cure, prevent, or manage all diseases by the end of this century. From start to finish, product designers are responsible for the entire design process: brainstorming solutions, iterating on interactions, creating visual polish, and giving design guidance to engineers as they implement.

Product Management

At CZI Science, our Product team focuses on opportunities to deliver and scale value and impact, not profit. We deliver products that accelerate science, identify products that would be underfunded as commercial ventures, and build scientific communities by collaborating and leveraging technology. Product managers incubate, resource, and lead products in all stages of the development cycle.

User Experience Research

Our user experience (UX) research team conducts rigorous, mixed-methods research to better understand the needs of the scientific community when it comes to fostering faster-paced and more open, collaborative scientific discovery. UX researchers generate and iterate on human-centered design solutions to meet the needs of the scientific community in the spirit of advancing science.

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