We're a dedicated team of scientists and engineers drawing from different backgrounds and ideas to push the boundaries of data intensive science.
SCIENTIFIC Project Manager
We're looking for a Scientific Project Manager to support the development of innovative data sharing platforms for biomedical research. This role will manage several complex informatics projects, ensuring smooth and industry-standard execution of data commons platform implementation and provision of software services.
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.
Senior DevOps Engineer
We're looking for a Senior DevOps engineer to join our platform engineering team for the Genomic Data Commons. This role will lead automation and tooling improvements, support software releases, and manage operations for large-scale data intensive system.
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 bioinformatician with strong engineering skills to lead several projects in the Center for Data Intensive Science through design and implementation of bioinformatics services. Projects range from large-scale federal contracts with the National Cancer Institute to research projects with faculty.
Director of Clinical bioinformatics
We are looking for a Director of Clinical Bioinformatics to provide broad leadership and direction for our clinical bioinformatics activities and lead clinical bioinformatics for large-scale data commons projects. The ideal candidate will develop into a visible, engaged, collaborative leader in the biomedical data science community while representing the University of Chicago on numerous platforms.
Join us in transforming cancer research
The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.