We're a dedicated team of scientists and engineers drawing from different backgrounds and ideas to push the boundaries of data intensive science.
Technical business analyst
We're looking for a Technical Business Analyst motivated to understanding business solution delivery standards, work scope management, solution quality, and client satisfaction for a petabyte-scale data commons supporting cancer research.
We're looking for a DevOps engineer to improve our automation and tooling, support software releases, and manage cloud operations for our large-scale data intensive systems. Developing a deep technical understanding of the system, software, and security architecture will be critical to success in this role.
Software Engineer in Test
We're looking for a software engineer for our data engineering team to build out testing frameworks and lead quality assurance activities. This role will not only be a strong developer, but will advocate for best practices around testing within the full software development lifecycle.
Linux Systems Administrator
We are looking for a Linux System Administrator to join our systems team that designs, configures, manages, and supports our large-scale cloud computing infrastructure. We currently operate 25000+ cores and 15+ PB of on-prem storage, built primarily on commodity hardware running GNU/Linux.
We're looking for a Senior Bioinformatician to join our Genomic Data Commons team. Responsibilities include leading data import and analysis, data quality, and data generation aspects of each project and work hands-on to develop pipelines and tools, including support for high-throughput genomic technologies.
We are looking for a Bioinformatician to implement bioinformatics services for innovative data sharing platforms for biomedical research. Projects focus on multi-institutional collaborations that bring leading experts together to drive data sharing initiatives for flagship scientific programs.
We are looking for a Software Engineer to work with cloud computing infrastructure to build out innovative data sharing platforms for biomedical research. This role involves a wide range of tasks, including systems orchestration, API development, algorithms, data structure development, and development of scientific applications including advanced analysis tools and visualizations.
Join us in transforming cancer research
The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.