Quick overview
Job description
About the Science Systems Center
Science Systems strengthens the technical and academic systems underlying scientific discovery through the support of people, tools, and technology. Its programs remove specific barriers researchers face, from crossing disciplines at critical career stages to accessing high-quality software and using AI effectively, and increasingly work to scale the practices and institutional models that help ambitious research thrive. The Center's portfolio includes the Schmidt Science Fellows, Schmidt Science Polymaths, the AI in Science Fellowship, the Virtual Institute for Scientific Software, Science Communications, and the Israeli Women's Postdoctoral Award.
Summary
The Science Systems Center at Schmidt Sciences invites applications for a 12-month Visiting Scientist position focused on bibliometrics and the science of science. The role combines hands-on work improving how Schmidt Sciences assesses the outcomes of its programs with the opportunity to shape the organization's thinking on scholarly infrastructure and the scientific record, as AI changes how research is produced, published, and verified. It is designed for researchers with expertise in measuring scientific output, collaboration, and impact, who make effective use of AI and large-scale data in their analysis, and who want to see research funding from the inside while continuing their own research. Both early-career researchers (Visiting Scientist) and mid-career and senior researchers on sabbatical (Distinguished Visiting Scientist) will be considered for this position. Start dates are flexible.
The Role
Reporting to the Director of the Science Systems Center, the Visiting Scientist will join the Science Systems team to strengthen impact measurement across the Center’s portfolio and help shape its future strategic directions in scholarly infrastructure and the scientific record.
The specific responsibilities of the role would be developed jointly by the individual and their manager and may change from time to time, but will include the following key elements:
Portfolio Impact and Strategy (Approx. 80% time)
- Review how programs across the Center collect, review, and assess outcomes, and recommend improvements.
- Design and pilot practical approaches for tracking the outcomes of awardees and programs over time, including measures of interdisciplinary research.
- Develop analyses and tools that program teams can use directly, making effective use of AI and large-scale bibliometric data.
- Assess the Center's current investments in strengthening the scientific literature, and map the broader landscape of efforts on scholarly infrastructure and the scientific record, including how AI is changing how research is published, discovered, and verified.
- Help shape the Center’s future strategy in this area, including a scoped recommendation on where and how it might invest and which program directions it could pursue.
Science of Science Research (Approx. 20% time)
- Pursue an independent research agenda in bibliometrics and the science of science, using publicly available or independently obtained data.
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