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.
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. Examples of the work CZI Science is supporting include the Human Cell Atlas, a global project to create a complete reference map of all the cells in the human body; and the Chan Zuckerberg Biohub, an independent nonprofit research hub to bring scientists and engineers together from Stanford, UCSF, UC Berkeley, along with the engineering team from CZI.
We're looking for a Data Science Intern to join our science efforts. The goal of CZI’s science initiative is to accelerate the pace of science and to cure, prevent, or manage all diseases by the end of the century. Our science initiative supports multiple efforts, including the development of Meta, a knowledge discovery platform, where scientists can share data openly with the goal of mapping the cellular basis of health and disease.
- Source data and write pipelines in in SQL, R, or Python to transform and surface key usage data.
- Insure the metrics are displayed accurately and in a timely fashion in dashboards.
- Take feedback from stakeholders and revise the metrics as needed.
- Provide presentations and summaries of metrics to the engineering and data team.
- Currently working on the process of obtaining, a Bachelors, Masters, or PhD degree in Computer Science, Applied Mathematics, Statistics, or a related data-oriented technical field and will have time remaining in school after your summer internship
- Targeted graduation date between December 2020 through Summer 2021
- The ability to work for 12 consecutive weeks during the Summer 2020
- Experience in solving analytical problems using quantitative approaches (or equivalent)
- Experience with SQL or other programming languages (R, Python, Java, and/or C++)
- Experience solving data-driven problems, including problem definition, data exploration, solution proposal, implementation, testing, and evaluation
- Excellent communication and organizational skills
Nice to have
- Curious, self-driven, analytical and excited to play with real-world data
- Data Science experience from previous internships, work experience, academic research, lab work, or personal projects
- Passion for science