Join our team dedicated to the Genomic Data Commons, one of the world’s largest unified storage, analysis, and distribution systems for cancer genomics. Alongside our team of experts in software development, systems engineering, and bioinformatics, you will join a support team dedicated to the GDC. The GDC offers petabytes of centralized and harmonized cancer genomic data to a range of users from small research projects to large analytics applications. Our team has an extraordinary opportunity to deliver on our mission of advancing cancer research through data science by collaborating with researchers across the country.
As a Technical Business Analyst will be responsible for understanding and meeting organizational and contractual expectations regarding business solution delivery standards, work scope management, solution quality, and client satisfaction. You will lead from a business analyst perspective from the ground up, as a communicator, liaison, and information source for the team. You will be a critical advisor for the agile development team, collaborating to deliver innovative solutions to support the cancer research community. By its nature, the GDC lies at the intersection of cutting edge research and production systems, both in terms of the bioinformatics and computer science principles being utilized. Deep technical understanding of the system and software architecture will be critical to success in this role. Additionally, you will either need to have or rapidly gain a working knowledge of cancer genomics to understand the use cases and requirements for the GDC. You will be empowered, decisive, communicative, business-savvy, and highly available to the team, leadership, and stakeholders.
Work with all stakeholders to define and document the use cases and product requirements that will determine the success of the solution
Translate product requirements into user stories and/or technical specifications
Develop and write clear user stories and technical tasks in JIRA
Provide other documentation as needed such as API specifications, process diagrams, and other models to clarify the desired solutions
Work with the team leads, collaboratively using JIRA, to help prioritize stories, tasks and their dependencies to ensure a smooth agile process
Provide input and participate in test plans, test cases, test scripts and defect reporting to ensure that solutions tested meet requirements and are both of high quality and operationally sustainable
Self-managed approach to effectively gather and communicate project expectations in a clear and concise fashion to multiple stakeholders
Timely escalation of any concerns, risks and issues pertaining to business analysis
Participate on project meetings and provide insight as appropriate
Documenting and reporting to project leadership and senior management
Bachelor's degree in Computer Science, Bioinformatics, or relevant engineering or scientific field such as Physics or Genomics required.
PhD in an relevant engineering or scientific field highly preferred.
5+ years of experience in progressive technical business analysis role required.
Experience with Agile methodology required.
Experience with writing technical specifications required, with a focus on full stack architecture, including REST APIs, SQL and noSQL data solutions and distributed infrastructure required.
Experience with business analysis and quality assurance professional standards, business processes, workflows, methodologies and leading practices required.
Experience leading business analysis activities while ensuring the traceability and optimum coverage of business requirements defined required.
Experience working in a Linux command line environment required.
Experience in Change Management, Release Management, Incident, Problem Management and working on Business Intelligence preferred.
Experience with HIPAA and/or FISMA security regulations preferred.
Experience with cancer or human genomics preferred.
Experience with bioinformatics preferred.
Experience managing a backlog of requirements in an Agile workflow preferred.
Experience creating user stories from requirements preferred.
Experience with JIRA project tracking software preferred.
About the Genomic Data Commons The Genomic Data Commons (GDC) is a comprehensive computational facility to centralize and harmonize cancer genomic data generated from NCI-funded programs. The GDC is the foundation for a genomic precision medicine platform and will enable the development of a knowledge system for cancer. The GDC will provide an open-source, scalable, modern informatics framework that uses community standards to make raw and processed genomic data broadly accessible. This will enable previously infeasible collaborative efforts between scientists.
About the Center for Data Intensive Science The Center for Data Intensive Science at the University of Chicago is developing the emerging field of data science with a focus on applications to problems in biology, medicine, and health care. Our vision is a world in which researchers have ready access to the data and tools required to make discoveries that lead to deeper understanding and improved quality of life. We democratize access, speed discovery, create new knowledge and foster innovation through implementation using data at scale. Our scientific data clouds and commons include the Genomic Data Commons, Bionimbus Protected Data Cloud, and Open Science Data Cloud.