Hyde Park Campus
2010009 BSD - Center for Data Intensive Science
About the Unit
The Center for Data Intensive Science at the University of Chicago is a research center pioneering translational data science to advance biology, medicine, and environmental research. Data driven research approaches require interdisciplinary innovation in computing technology, algorithms, and statistical models. The growing volume of data available necessitates advances in the sophistication of these methods. Our work centers around developing instruments to integrate commons of complex data with cloud computing technology. We architect large scale commons of research data, computing resources, applications, tools, services. Our guiding principles center around open data, open-source software, and open infrastructure. Through this approach, we can more effectively use data at scale to study and pursue scientific inquiry in the areas of biology, medicine, healthcare, and the environment. We are leaders in data sharing, democratizing access for the broader research community and accelerating discovery. Our leadership emerged with the launch of the first open-source cloud-based computational research platform recognized as an NIH Trusted Partner, achieving rigorous data quality and data management service requirements. Today we offer over seven petabytes of rich research data through the following data commons platforms: - NCI Genomic Data Commons - Bionimbus Protected Data Cloud - Blood Profiling Atlas for Cancer - BRAIN Data Commons - OCC Environmental Data Commons - Open Science Data Cloud We are based in Chicago, but our work engages collaborators from across the world.
A software engineer in the Center for Data Intensive Science works with cloud computing infrastructure primarily based on OpenStack and AWS to develop, maintain, and evaluate software applications to meet business and technical requirements. Works in Linux-based systems in Python with some C/C++ and Go and various web technologies. Solves complex problems and performs at a high technical level in programming activities. Executes code testing and ensures appropriate standards are met. Provides production and user support. Serves as a liaison with internal and external collaborators on various research projects. Documents project development and programming code.
Coding includes the full stack including systems orchestration, API development, algorithms and data structures, and user interfaces. Open-source projects span management, sharing, and provenance of large data sets; automation, metrics, and scheduling for cloud computing, large scale pipelining of next-generation sequence analysis, transfer programs/protocols for high-speed networks and resource visualization.
- Designs and develops software and models for development projects as assigned.
- Performs code testing and ensures appropriate implementation standards are met.
- Provides support and maintenance for existing applications.
- Reviews and analyzes business and technical requirements.
- Translates specifications to ultimately designs and actual programming code.
- Demonstrate programs and provide appropriate written documentation of project development and programming code.
- Solves complex programs and works at a high technical level in all phases of development.
- Other duties as assigned.
This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
- Ability to lead across a collaborative team environment required.
- Ability and willingness to acquire new programming languages, statistical and computational methods, and background in research area required.
- Ability to prioritize and manage workload to meet critical project milestones and deadlines required.
- Confidentiality related to sensitive matters such as strategic initiatives, trade secrets, quiet periods, and scientific discoveries yet to be put in the public domain.
- Ability to take a broad plan and break it into incremental tasks and oversee the completion of each task.
- Ability to come into a team used to minimal supervision and oversight and ensure accountability for deliverables and outcomes.
- Ability to persuade others to adapt new structures or systems in order to meet objectives.
Education, Experience or Certifications:
- Bachelor's degree in computer science, mathematics, statistics, engineering, or a related field required.
- Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field preferred.
- Minimum two (2) years of relevant programming experience required.
- Experience using applications such as Python, C/C++, Java, or Ruby required.
- Unix/Linux experience required.
- Version control experience required.
- High performance/ cloud computing experience preferred.
- Unix/Linux programming or system administration experience preferred.
- UX/UI experience preferred.
- Git version control experience preferred.
- Experience with genomics preferred.
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
Depends on Qualifications
Scheduled Weekly Hours
Job is Exempt?
Drug Test Required?
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Health Screen Required?
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