Founded by Dr. Priscilla Chan and Mark Zuckerberg in 2015, the Chan Zuckerberg Initiative (CZI) is a new kind of philanthropy that’s leveraging technology to help solve some of the world’s toughest challenges – from eradicating disease, to improving education, to reforming the criminal justice system. Across three core Initiative focus areas of Science, Education and Justice and Opportunity, we’re pairing engineering with grantmaking, impact investing, policy work, and movement building, to help build an inclusive, just and healthy future for everyone.
We believe we can help build a future for everyone.
- We aim to be daring, but humble: We look for bold ideas — regardless of structure and stage — and help them scale by pairing engineers with subject matter experts to build tools that accelerate the pace of social progress.
- We want to learn fast, but build for the long-term: We want to iterate fast and help bring new solutions to the table, but we also realize that important breakthroughs often take decades, or even centuries.
- Stay close to the real problems: We engage directly in the communities we serve because no one understands our society’s challenges like those who live them every day.
Our success is dependent on building teams that include people from different backgrounds and experiences who can challenge each other's assumptions with fresh perspectives. To that end, we look for a diverse pool of applicants including those from historically marginalized groups — women, people with disabilities, people of color, formerly incarcerated people, people who are lesbian, gay, bisexual, transgender, and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds.
By pairing engineers with leaders in our education, science, and justice and opportunity teams, we can bring technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face.
In our Science Initiative, our mission is to support science and technology that will help make it possible to cure, prevent, or manage all diseases by the end of the century. Interdisciplinary teams of physicians, biologists, computational scientists, and engineers can expand our understanding of the human body and illness — the very science behind medicine. CZI fosters collaboration between scientists and engineers, develops tools and technologies, and builds support for basic scientific research.
Some Science Initiative example projects include:
- napari - an open-source interactive, multi-dimensional image viewer for python
- IDseq - a metagenomics platform focused on delivering insights in infectious disease
- Starfish - an open-source image processing framework, enabling access to multiplex image-based transcriptomics analysis
- cellxgene - an open-source interactive data explorer for single-cell transcriptomics data
- Meta, a semantic discovery tool that provides a faster way to understand, organize and explore science through personalized feeds
As a Software Engineer in the Imaging Program, you will build software tools to support our mission, focused on enabling researchers to gain a much deeper mechanistic understanding of biological systems. Those software tools will help researchers to visualize life’s processes at the necessary biological scales (systems, tissues, cells, proteins) and in the necessary context, enable quantitative insights, and build on each other’s discoveries.
You will have the opportunity to work within a collaborative team of not only software engineers, but with other cross functional collaborators as well as scientists and open source community members, building software that accelerates the pace of the biological sciences. This is a unique opportunity for a person with scientific and engineering skills to work on challenging problems and build tools to help the scientific open source community.
- Solve challenging scientific software problems, combining both engineering and scientific skills
- Build visualization and analysis software tools for exploring and analyzing biological imaging data
- Collaborate on open source software projects with the opportunity to contribute to major existing essential open source projects
- Work in a multi-disciplinary team, with engineers, scientists, product managers, designers and user researchers, to define product plans and strategy
- 3+ years experience working with Python
- Strong experience with scientific Python tools like SciPy, NumPy, Dask, Jupyter, etc. Demonstrated contributions to these projects is a plus
- Familiar with infrastructure tools and software engineering practices like Git/Github, PyPI/pip, CI/CD, unit testing, agile/scrum, etc
- Experience and passion for developing high quality, robust software. Demonstrated contributions to community open source software projects is a plus
- Experience working in an interdisciplinary team (engineering, product, UX). Experience working with scientists is a plus.
- Background in science and work experience within a scientific domain like Imaging is a plus