Lead project management with technical teams architecting the full stack of the NCI Genomic Data Commons, one of the world's largest storage, analysis, and distribution systems for cancer genomics.
Technical Project Manager: This position currently supports the development of the NIH/NCI Genomic Data Commons (GDC), one of the world's largest storage, analysis and distribution systems for cancer genomics. A typical day can include project planning, backlog management, client communication, quality assurance, and writing user stories. The project manager will be the process authority and will work with each functional team in the center to educate and coach agile project management methodology.
Responsible for managing all aspects of a large project or series of projects to ensure that they meet contractual obligations and that deliverables are met. Works with contracts team to ensure appropriate approvals are in place for compliance. Includes international projects.
Works closely with the technical leads to develop project plans and ensure each team is on track. Gathers business requirements and assists with specifications and use cases. Manages project communications.
Coordinates activities with the project team including software engineering, quality assurance, cloud operations, bioinformatics, and IT security to highlight dependencies, manage risks, and ensure timely completion. The project team may include remote subcontractors. Coordinates activities between the project team and other University groups including, but not limited to: IT Services, Purchasing, Finance, University Research Administration, Legal, and Administration. Functions as the liaison between the project team, prime sponsor, external collaborators, and leadership. Provides regular status reports as appropriate. Ensures delivery of project documentation and deliverables.
Proactively ensures the Director and other stakeholders are aware of all challenge and issues and makes recommendations for resolution. Facilitates change review process. Follows through to stakeholder acceptance.
Education and Experience
Bachelor's degree in a computer science, engineering, biology, or business discipline or equivalent of four (4) years of relevant experience required.
Minimum three (3) years relevant experience required.
Experience with agile processes required.
Technical writing experience required.
Demonstrated experience coming into a complex project with minimal project management structure or documentation, evaluating the requirements and successfully gaining buy in to implement a project management structure required.
Advanced degree in computer science, engineering, biology or a related field preferred.
Project management certification preferred.
Scrum master certification preferred.
The Center for Data Intensive Science
The Center for Data Intensive Science is a research center at the University of Chicago that focuses on data science and its applications to problems in biology, medicine, health care, and the environment. We're a dedicated team of researchers and engineers drawing from different backgrounds and ideas to push the boundaries of data intensive science. We develop technology to manage, analyze and share large complex datasets and apply this technology to make discoveries in biology, medicine and health care. Our mission is to pioneer the emerging field of translational data science. Our research interests include data commons, bioinformatics, high performance analytics, virtualized infrastructure, and pipelines for large-scale data analysis. We work closely with researchers at the University of Chicago and others around the world to pursue discovery and make an impact on society.
The University of Chicago is an Affirmative Action / Equal Opportunity / Disabled / Veterans Employer.