Founded by 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 society’s toughest challenges – from eradicating disease, to improving education. Across our core initiatives of Science and Education, we’re pairing engineering with grantmaking, impact investing, policy work, and advocacy, to progress in our mission of building 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
- 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 highly collaborative team of not only software engineers, but with other cross functional collaborators as well as scientists and external community members, building software that accelerates the pace of the biological sciences. This is a unique opportunity for a person with broad and diverse software engineering and architecture skills to work on technical challenges that will help the scientific community make more discoveries faster and more efficiently. This is a hands-on engineering role that will lead our software architecture and design efforts.
- Solve challenging scientific software problems in a highly collaborative environment.
- Architect, design and build open source software tools for visualizing, exploring and analyzing biological imaging data. Opportunity to apply software design and development skills to an exciting new open source project (napari) to make it more robust and scalable in order to grow a thriving plugin ecosystem and accelerate scientific discoveries.
- Work in a multi-disciplinary team of software engineers, product managers, designers and user researchers and also collaborate beyond the team with external groups of scientists and open source community members.
- Build consensus around software solutions and designs on both the internal team and with the external open source community. This may include building proof of concepts, presenting to others, communicating design trade-offs and incorporating feedback.
- Educate others on software engineering best practices on both the internal team and in the external open source community.
- Mentor other software engineers on the team to help them grow their technical skills.
- Evaluate potential technologies and, if appropriate, propose how and when to use them in our projects.
- 7+ years experience as a lead software engineer architecting, designing and building modular software solutions at different scales
- Experience working in an interdisciplinary team (engineering, product, UX) and with highly collaborative global communities. Experience working with open source communities is a plus.
- A passion for developing high quality, robust software
- Deep understanding of software engineering principles and design patterns and how to apply them
- Excellent problem solving skills
- Excellent communication skills
- An open and collaborative mindset
- A teaching mentality and experience mentoring others
- An interest in science and learning about Imaging
- Experience working in an Agile environment
- Diverse experience working with both desktop and web applications and understands how they can interface with each other. Experience interfacing with hardware such as microscopes is a plus.
- Experience working with the Python language is desired