Job Description:
Lead architectural decisions and implement sophisticated systems for publishing and managing complex, interconnected datasets across scientific domains, with a focus on enabling cross-domain data integration and advanced querying capabilities.
Develop, manage, and deploy data infrastructure services to support various projects.
Establish and nurture strategic partnerships with program directors, research leaders, and institutional stakeholders.
Shape and drive UChicago's strategic vision for AI/ML integration with national data infrastructure, including identifying emerging technologies and developing roadmaps for their adoption.
Support large-scale, multi-phase projects from inception through deployment, managing cross-functional teams and ensuring alignment with organizational objectives.
Conceive and execute innovative internal ventures, securing resources and building teams to explore novel approaches in distributed data infrastructure and AI/ML integration.
Architecture and Design:Â Contributes to the definition and documentation of requirements, architecture and design of secure, scalable, asynchronous, data access services, based on expanded knowledge of principles of API design, asynchronous processes, service deployment and delivering highly available services.
Designs new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.Â
Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Performs other related work as needed.
Preferred Qualifications
Education:
Bachelor's degree in computer science or another relevant computer related field.
Masters of Science in computer science.
Experience:
Knowledge and skills developed through 5-7 years of work experience.
Proficiency in software development with Python and SQL.
Cloud & Infrastructure working experience.
Knowledge of SQL, Databases, and C, Haskell technologies.
Experience with AI/ML models for scientific applications.
Experience with Built and RESTful backend API using FAST API and PostgreSQL.
Experience with cloud computing.
Experience with Globus software.
Effective oral and written communication skills.
Use standard software development applications and tools.
Technical Skills or Knowledge:
Familiarity with Python web framework (e.g. Flask/Django).
Knowledge of SQL databases (e.g. PostgreSQL, MySQL, SQLite).
Unit testing and continuous integration tools (e.g. Github Actions, FastAPI, git).
Knowledge of open source project contribution.
Working Conditions
This job requires occasional evening or weekend hours.
This job is a hybrid position with occasional attendance at in-person meetings required.Â
This job may require occasional travel to attend workshops and conferences.
Application Documents
Resume (required)
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 773-702-5800 or submit a request via the Applicant Inquiry Form.
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About University of Chicago (UC)
One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.
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