The following positions are open for applicants via the CU Careers website


Informatics Operations Software EngineerUnder the direction and guidance of the Director of Translational Informatics Services (TIS), the Informatics Operations Software Engineer will develop maintainable software products and workflows that integrate genetic data derived from CCPM biobank participant samples and health records data, including billing codes, medications, and medical procedures. The software engineer supports our clinical impact, including testing and using our platform to return actionable results that guide patients and their providers. The Informatics Operations Software Engineer will work with bioinformaticians, clinicians, and health IT professionals to build and maintain clinical and research pipelines for CCPM. Within the team, the Informatics Operations Software Engineer will serve as a subject matter expert on the processes that underlie the development of reliable, robust technical solutions, including automated testing, the design of version control strategies, etc. Click here for more key responsibilities.

Technical Project Lead The CCPM Project Lead is responsible for the direction, coordination, implementation, execution, control, and completion of assigned projects, while remaining aligned with the strategy, goals, and commitments of the organization. This position will report to the CCPM Director of Finance & Administration, and primary responsibilities will support efforts to execute on CCPM strategic priorities as it relates to serving patients, growing research and education, and developing strategic partnerships.  Click here for more key responsibilities.

Biobank Associate Director:  The Assistant Professor/ Associate Professor, CCPM Biobank Clinical Laboratory Associate Director will be responsible for helping deliver the next generation of personalized medicine. The position reports to the certified Clinical Laboratory Director and responsibilities include high complexity technical and clinical case review, variant classification, and sign out of routine and complex clinical test reports. The ideal candidate autonomously provides technical interpretation of genetic testing results, validation and implementation of new assays, assay troubleshooting, technical consultation to laboratory staff, participation in QA responsibilities, and review of SOPs.