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 Metrics, Evaluation and Assessment Scientist for the CZI Science Initiative reports to the Vice President of Operations for Science, with an indirect reporting line to the Director of Data Science and is responsible for working with the Science Program and Science Technology leadership to develop processes for the consistent and informative measurement and evaluation of our programs and products (https://chanzuckerberg.com/science/programs-resources/) essential for achieving results and evaluating impact. Integration of metrics, assessment and evaluation activities and principles is desired throughout our decision-making processes, from early strategic stages of proposal development through to grant execution and impact reporting. This position works to implement these processes by partnering with Program and Technology leads and the Data Science team in the co-development of theories of change/logic models, identifying performance indicators and targets, and establishing data tools for tracking and reporting project and program-level deliverables and results.
- Collaborate with Program and Technology Leads and the Data Science team to identify evidence-bases for project proposals and develop causal models (theories of change) that link project-level activities to program-level impact goals
- Contribute to the design and implementation of compliance and tracking tools for funded programs
- Consult with program staff and grantees to ensure that investments include viable plans for tracking results and milestones, as well as clearly articulated goals that align with philanthropic impact strategy
- Contribute to the design of new program strategies, collaborations and implementation plans to ensure long-term sustainability and impact
- Support knowledge management efforts by standardizing output and outcome metrics and work with the data science team to inform the building of data collection and management tools
- Design, develop and manage standard and ad-hoc performance reports to the CZI leadership team that demonstrate project/program outcomes and learnings across the Science portfolio
- Ability to work independently and as part of a collaborative team within the Science initiative to solve unstructured problems and drive results
- Ability to work across broad topical areas and among diverse teams, and to exercise judgment and work effectively in unclear situations with changing dynamics among stakeholders
- Strong background and knowledge of evaluation research design and research methods, as well as an ability to synthesize complex information and communicate in a manner that is accessible and concise
- Bachelor’s Degree and/or significant formal training in disciplines related to evaluation (e.g. economics, statistics, social science research, etc.) is required and 2-3 years of relevant experience in applied measurement and reporting functions in biomedical and/or life sciences research or equivalent combination of education and experience.