Department******* BSD – Center for Data Intensive Science
About the UnitThe 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 platforms 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.
As a member of the Quality Assurance team, the SDET in the Center for Data Intensive Science will work with Dev and DevOps teams to help build and test data cloud solutions. The SDET will also participate in designing and implementing automated solutions to help verify functionality and performance of the data commons platforms.
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.
– Responsible for creating the project Software Quality Assurance Plan.
– Create and implement QA Test Plans and SOPs.
– Test functionalities prior to each release on each tier (QA, Stage and Production).
– Responsible for testing the product to be compliant with technical specifications and policy requirements.
– Identify necessary teams to successfully complete the Test Phase.
– Contribute to Master Test Plan and Strategy by identifying appropriate test techniques and tools that ensure product quality and test completion.
– Develop the test case documents according to the Master Test Plan/Test Strategy.
– Facilitate triage of defects and assist in defect investigation and escalation.
– Walk through the test results with the team and communicate status to management and project leadership.
– Assist with the implementation of automated testing tools.
– Serves as a liaison with internal and external collaborators on various research projects.
– Proficient in one or more common programming languages.
– Detailed knowledge of software verification and validation processes and procedures.
– Excellent debugging and trouble shooting skills.
– Understanding of Agile Process and ability to prioritize and manage workload to meet critical project milestones and deadlines.
– Ability and willingness to acquire new programming languages, learn about statistical and machine learning methods.
– Ability to work in a collaborative team environment.
– Excellent technical and communication skills.
Education, Experience or Certifications:
– Bachelor’s degree in computer science, mathematics, statistics, engineering, or a related field required.
– Master’s or Doctoral degree in computer science, mathematics, statistics, engineering, or a related field preferred.
– Minimum of two (2) years of professional QA experience in testing activities for all phases of the testing lifecycle required.
– Experience designing and evaluating tests for web applications and APIs required.
– Experience with unit testing, test case development, automated regression testing required.
– UX/UI testing and browser test automation (Selenium) experience required.
– Experience coding in Python (1 year+) required.
– Unix/Linux experience required.
– Version control experience required.
– Experience with high performance/ cloud computing and performance/scalability testing preferred.
– Unix/Linux programming or system administration experience preferred.
– Continuous integration experience preferred.
– Git version control experience preferred.
– Familiarity with genomics preferred.
When applying, all required documents
be uploaded under the
section of the application
Depends on Qualifications
Scheduled Weekly Hours37.5
Job is Exempt?Yes
Drug Test Required?No
Does this position require incumbent to operate a vehicle on the job?No
Health Screen Required?No
Remove from Posting On or Before2019-04-09-07:00
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call ************ or submit a request via Applicant Inquiry Form.
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