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.
The ideal candidate will have deep, hands-on expertise in quantitative microscopy, and at least some familiarity with the current open-source imaging software ecosystem (e.g. ImageJ, FIJI. CellProfiler, etc.) and core technologies (Python, TensorFlow, WebGL). Key qualities are (1) an understanding of how biologists want to work with imaging data; (2) a passion for community engagement and open-source development; and (3) strong interpersonal skills and ability to build and work across a diversity of expertise.
- Work closely with Science Program Officers, Computational Biologists, and Technology Staff to help define and lead programs in imaging and microscopy and represent them to the outside community
- Collaborate with biologists, imaging scientists, and open-source software developers to help conceive and develop analysis and visualization tools for biological imaging data
- Drive internal and external community engagement, including planning and running hackathons and meetings, and engage in outreach to ensure connections to users, standards groups, and existing open-source communities
- Support the grant-making process for current and future programs, including selection, review, process, and relationship management
- Identify and engage with existing open-source communities, and help build consensus around standards and methods
- PhD degree or equivalent experience in quantitative microscopy or similar field
- 3+ years of experience analyzing microscopy image data, including the use of common open-source tools (e.g. ImageJ, FIJI, CellProfiler) and at least one modern software analysis or visualization ecosystem (e.g. Python, TensorFlow, WebGL, etc.)
- 3+ years of experience in physical or virtual community-building activities, including hackathon planning, workshop or conference organization, hosting tutorials, etc.
- 3+ years working in or helping coordinate open-source software communities