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Special Events Manager

Reporting to the Assistant Director of the AI and Science Postdoctoral Program and the DSI Chief of Staff, the Special Events Manager uses advanced techniques for internal and external communications and event management to support the research and educational goals of the DSI, and in particular its AI in Science Postdoctoral Fellowship program. This manager will support events that promote, expand and enhance the research and outreach mission of the DSI, and in particular the AI and Science Postdoctoral Program.

In addition to their role in coordinating and executing internal- and external-facing events at the DSI, the events manager will assist in the creation and delivery of materials to promote the AI in Science Postdoctoral Fellowship program focused on training a generation of domain scientists with deep theoretical and practical understanding of artificial intelligence.

This position will execute meetings and convenings for postdoctoral fellows and relevant faculty, as well as large academic, public and educational events on a regular basis. They will partner with program managers, faculty, fellows and students, and must be able to collaborate effectively with internal and external partners to advance common communication goals and execute academic events.


Open Source Software Engineer

Reporting to the Executive Director of the Data Science Institute, the Open Source Software Engineer (OSSE) will support the development of code and open source software that assists in the execution of research priorities of the institute, its faculty, fellows and graduate students. They will collaborate with the rest of the Engineering Team to support and engage with interdisciplinary research groups across the University of Chicago to determine requirements, iterate on architectural specifications, and produce robust and scalable systems that meet identified needs in computer, mathematical, and natural science data-based research. The Software Engineer will perform a variety of activities related to analysis, design, development, debugging, and modification of computer code for software and configuration management. Some amount of time in this role will allow for development of the applicant’s own open source software contributions, research and non-assigned software projects to advance their career, knowledge, and stay aware of and engaged with emerging technologies and trends in the open source software community.

A portion of this role will directly support the AI and Science Postdoctoral Program and PI/faculty collaborators on this program, which is focused on training a generation of domain scientists with deep theoretical and practical understanding of artificial intelligence. Interest in and understanding of machine learning and artificial intelligence is preferred in candidates applying for this position.


11th Hour Staff Data Scientist

The UChicago Data Science Institute is looking for an outstanding candidate with expertise in one or more areas related to data science (machine learning, statistics, databases, etc.), demonstrated experience in software engineering, and, ideally, a demonstrated interest in data science for social impact. Aimed at candidates whose passion lies in developing innovative solutions to real-world data science problems in multiple domains, this position offers the opportunity to lead machine learning and data science research applied to high impact environmental, human rights, and energy challenges.

Working in collaboration with UChicago Data Science Institute faculty and staff and The Schmidt Family Foundation 11th Hour Project, the Staff Data Scientist will develop data capacity of 11th Hour program staff and grantees. In addition to capacity building, this role will consult on 11th Hour grantee data collection and modeling as well as the long-range goals of advancing scientific discovery, developing open source resources, innovative technical consulting, development and delivery of workshops and training, and other activities designed to advance the research and practice of data-driven and data intensive discovery across 11th Hour grantee areas.


Community Data Fellows Program Manager

The Community Data Fellows Program Manager is an integral part of the growing DSI team, responsible for program development, maintaining external relationships with civic, nonprofit and social impact organizations, and executing student engagement activities. The Community Data Fellows Program Manager is responsible for recruiting fellows throughout the year to meet project demand. In collaboration with the DSI leadership team and the Senior Director of Outreach in particular, this role designs and executes outreach strategies to national and local social impact, civic and nonprofit organizations. This position will oversee planning, coordinating, managing and evaluating daily operations of the Community Data Fellows program. Acting as a liaison between the programmatic team and program participants, they work across technical teams and external stakeholders. They implement relevant policies and procedures, and program assessment protocols for the evaluation and improvement of programs.


Research Team Administrator

The Research Team Administrator provides managerial and administrative oversight of the Data Science Institute’s research programs and grants. The incumbent performs a range of professional activities in support of research initiatives, seed funding, undergraduate research programs, postdoctoral scholar’s programs and DSI faculty research grant support. Reporting to the DSI Director of Research Programs and Strategy, the Research Program Admin works to meet the needs of the DSI to ensure effective and efficient operations and advance DSI research and postdoctoral programs. This position provides professional support for grant administration, purchasing, procurement, program operations and planning, and academic events and activities.


The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.