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.
The Single Cell Engineering Team is building interactive visual interfaces that put data directly into the hands of scientists. A pilot of our platform was rapidly deployed to host data from healthy and COVID-19 infected tissues, which enabled researchers to evaluate the infectability of different types of cells, which is determined by their co-expression of two key genes: ACE2 and TMPRSS2. This pilot demonstrates how visual tools can help unlock single cell data, enabling scientists to understand how genetic variants impact disease risk, define drug toxicities, and discover better therapies.
CZI's Single Cell Biology Program aims to facilitate the generation of comprehensive reference maps of all human cells, such as the Human Cell Atlas, as a basis for understanding fundamental human biological processes and diagnosing, monitoring, and treating disease. These reference maps are derived from terabytes of cell biology images and biological sequence information. However, cell biologists and physicians, the scientists who have the knowledge to interpret the data, often lack the computational skills needed to access the data.
Design and build web applications to facilitate the reuse of terabytes of single cell transcriptomics data with an eye towards scalable, maintainable, testable code.
Lead and facilitate discussions of design and implementation of software towards decisions, influencing a multidisciplinary group of stakeholders.
Collaborate closely with other engineers as part of a scrum team to deliver incremental value for scientists working at the cutting edge of an emerging field.
Have opportunities to learn about single cell technologies, though no prior experience is required!
5+ years of relevant software experience with full-stack web development.
Strong fundamentals in data structures, algorithms, and object oriented programming principles.
Proficiency in Python.
Experience building RESTful APIs.
Experience working in a multidisciplinary environment (engineering, product, UX).
Excellent written and verbal communication skills.