Job Company: University of Chicago
The Director of Clinical Bioinformatics will provide broad leadership and direction for the strategic planning, evaluation, design, and implementation of the clinical bioinformatics activities. Mentors, inspires and provides management oversight to all members of the clinical bioinformatics team and collaborates with other Directors within the Center for Data Intensive Science. [More]
The Senior Bioinformatician will take a lead role as the primary bioinformatics and scientific resource to support project work that solves complex problems. Works at a high technical level in all phases of data management and bioinformatics support activities. Highly complex data will be analyzed by applying sound statistical and commonly accepted bioinformatics methods on a collaborative project team. [More]
Responsibilities: Developing and implementing methodologies and tools as needed, keeping abreast of industry trends and new technologies, and recommending potential solutions based on the latest technical developments. You will use the community best practices, to prototype, develop, execute, test and roll out production level Bioinformatics analysis pipelines... [More]
The Yang Lab is seeking self-motivated individuals with strong background of computational biology to study cancer genomics. The main goal of the lab is to explore the functional consequences of somatic alterations in cancer patients, to identify driver alterations, and to understand the evolutionary process of cancer by integrating multi-dimensional data from large scale cancer studies ... [More]
This position currently supports the development of innovative data sharing platforms for biomedical research. A typical day can include project planning, backlog management, client communication, quality assurance, writing user stories, team scrums, and working group meetings. The project manager will be the process authority and will work with functional areas in the center to coordinate activities... [More]
The Data Scientist will work closely with faculty in the Department of Public Health Sciences to obtain, manage and analyze data for several health policy projects. Examples include (but are not limited to) a project on Medicaid policy and another on the quality of nursing home care. Much of this work will involve using large claims (e.g., Medicare and Medicaid) and other administrative datasets. [More]
Under direct supervision, codes, tests, maintains, and debugs new, or enhances existing, applications or programs. May collect and/or determine specifications from discussions with stakeholders. Reviews and analyzes business and technical requirements. Documents workflows associated with business requirements. [More]
The Senior Bioinformatician will design and implement bioinformatics services for projects in the Center for Data Intensive Science. Projects range from large-scale federal contracts with the National Cancer Institute to research projects with faculty. The Senior Bioinfomatician will lead projects and work hands-on to develop data processing and analysis pipelines [More]
The Bioinformatician 2 is responsible for the design and implementation of bioinformatics services for the rapidly growing Division within the Department of Pathology within the Division of Genomic and Molecular Pathology. Will support and maintain clinical computational pipelines and create data novel algorithms as needed. [More]
A Lead Data Engineer in the Center for Data Intensive Science leads data engineering activities for one or more programming projects under direction of the Lead Software Architect. Responsibilities include requirements, design, implementation, deployment/delivery, and support for data services. Leads data services activities and manages dependencies in collaboration with other functional areas [More]