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 and science initiatives, 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.
The Shasta team goal is routine, cost-effective and accurate de novo genome sequencing of any individual or organism, for use in biological research and clinical settings. In partnership with the University of California Santa Cruz Genomics Institute, the team is building a de novo genome assembler for nanopore DNA sequencing. Shasta can assemble genomes in a fraction of the time and cost of traditional methods, and is used by scientists to explore the genomic diversity of all species.
As an Application Scientist in the Shasta team, you will work with scientists and engineers from CZI and our research partners to advance the state of genome sequencing, to sequence novel organisms, and to improve clinical genomics.
- Be a member of the multi-disciplinary Shasta team, providing genomics and genome assembly domain expertise.
- Act as a liaison between scientific users and the Shasta development team. Provide technical assistance to external collaborators, creating configuration, documentation, training materials, scripts and other forms of assistance. Perform community outreach and build awareness of Shasta.
- Evaluate and benchmark Shasta, providing biological insight into the accuracy and completeness of Shasta results.
- Research or clinical experience in genome assembly, annotation and interpretation pipelines.
- Experience creating and evaluating genome sequencing computational tools and methods.
- Hands-on experience in data analysis and scientific programming.
- Excellent organizational, interpersonal, verbal, and written communication skills.
- A strong drive to empower scientists with new tools and technology.
- An understanding of the academic research lifecycle, including work in a research environment.
- Familiarity with open source software development and modern software tools is a plus.