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. 

DevOps EngineeR

We're looking for a DevOps engineer to join a new team building out new data commons, serving petabytes of data through a secure cloud infrastructure across our on-premise datacenter and commercial clouds.  This role will not only support operations and scaling, but will be closely involved in the initial architecture and build out. 

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.

Clinical Data Curator

We are looking for a Clinical Data Curator to support our biomedical data commons.  Alongside our teams of experts in systems administration, software development, and bioinformatics, you will join the User Services Team, which is focused on helping users submit and download data from our systems. 

Senior bioinformatician

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.