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 software platforms to integrate repositories of complex data with cloud computing technology. We architect large scale data commons consisting of research data, computing resources, and software applications, tools, and 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 developing large scale data platorms that support the analysis of large and complex datasets, enable data sharing, and accelerate research discoveries. Our center developed the first, or one of the first, large scale data clouds, data commons, and data ecosystems supporting biomedical and environmental research. 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.
We're looking for a technical problem solver to work closely with our development team to improve automation and tooling, support software releases, and manage operations for our large-scale data intensive systems. You will join a dev team and work across multiple functional areas. You will have opportunities to work with a number of automation tools across the full stack and use the latest technologies. Join a team of engineers and scientists leading the design and development of data commons platforms supporting biomedical research across the world.
This role focuses on the Genomic Data Commons, which by its nature lies at the intersection of cutting edge research and production systems, both in terms of the bioinformatics and the computer science principles being utilized. The Genomic Data Commons is the one of the world's largest collection of harmonized cancer genomics data. Developing a deep technical understanding of the system, software, and security architecture will be critical to success in this role.
You will focus on system availability, performance, and capacity monitoring, along with installation, configuration, and operations procedures. You will be given broadly defined goals and expected to work collaboratively across functional teams to determine best methods and technologies for achieving objectives. Your work will be informed by quantitative analysis and models for understanding and improving the overall performance of the system and by working with engineers to understand pain points.
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.
- Production Support – Triage, research, communicate, address production incidents
- Production Monitoring - Wrangle disparate system monitoring assets and develop common analytics to inform optimization, define benchmarks and confidence intervals, and forecast to proactively mitigate production incidents
- CI/CD Design & Implementation - Design, implement, and maintain a build and deployment automation solution to enable CI/CD for hybrid cloud architecture (on-prem and public cloud)
- Security Automation – assist with the automation of our security and compliance procedures.
- Stay abreast of broad technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
- 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 quantitative field required
- Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field preferred
- Minimum two (2) years experience developing infrastructure, configuration and/or deployment automation required
- Hands-on scripting experience (Bash, Python, or other dynamic language) required
- Unix/Linux programming or system administration experience required
- Experience with OpenStack and AWS p(EC2/S3) cloud technologies preferred
- Experience with configuration management utility (Chef, Puppet, Ansible) preferred
- Experience with F5 or other load balancing technologies (Nginx, AWS ELB/ALB, etc.) preferred
- Experience with source control and build systems (SVN, Git, Jenkins, etc) preferred
- Experience with container based deployment (Docker, Kubernetes) preferred
- Experience with log aggregation tools (ELK stack, Splunk) preferred
- Experience with security frameworks (FISMA, NIST, FIPS) preferred
- Experience working in an agile environment 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?
Does this position require incumbent to operate a vehicle on the job?
Health Screen Required?
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