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.
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 tools 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 Product Applications Scientist in the Imaging Program, you will represent the voice of our scientific users', both researchers and bioimage analysts, to the rest of the team and ensure that the community tools we are contributing to meet our users bioimaging needs. You will work within a collaborative, cross-functional team of computational biologists, engineers, product managers, designers, and user researchers who are all focused on supporting the scientific imaging community at-large.
The Imaging Technology team is currently focused on growing an open source image analysis and visualization ecosystem, built around napari, to further our mission to enable researchers to gain a much deeper mechanistic and quantitative understanding of biological systems using imaging. You will bring your knowledge of the imaging and image analysis landscape and community to help us ensure the contributions we are making are valuable and broadly usable by the scientific community. You will also evangelize our tools to the scientific community and communicate directly with our scientific users to ensure our tools are successfully being utilized in their research. You will establish relationships with critical users and user communities, facilitating the adoption of our tools and filtering their feedback as we try to make our tools reach their full potential.
This is a unique opportunity for a person with imaging and bioimage analysis skills to advance an open source ecosystem for the bioimaging community.
- Embed within the Imaging Team and partner with CZI software engineers, user researchers, designers, and product managers to represent the voice of bioimaging and bioimage analyst users, help frame product requirements, and consult on implementations and designs
- Use your image analysis knowledge to ensure that the documentation and tutorials for our tools are comprehensive and high quality
- Teach our image analysis tools at workshops, courses, and hackathons
- Represent the work of the CZI Imaging Team at conferences and scientific meetings, including presenting and evangelizing our tools
- Participate in online image analysis communities, including answering questions or providing user support for our tools on public forums like image.sc
- Establish, nurture, and maintain relationships with key users and user communities
- Contribute to feature requests, issues, and code (when appropriate) for open source software for image analysis and visualization, including napari and its plugins
- PhD/ MS in a quantitative science field or equivalent scientific and technical experience
- 3+ years analyzing biological or biomedical imaging data
- 3+ years programming with Python, including experience with scientific Python tools like SciPy, NumPy, Scikit-Image, Jupyter, etc.
- Demonstration of engagement with open source and open science communities
- Excellent written and verbal communication skills in scientific settings
- Previous experience in engaging with scientists, including working directly with partners or customers in the life sciences
- Experience using modern machine learning frameworks like PyTorch, Tensorflow, etc. for computer vision applications is a plus.