Job Description:

• Plays a leadership role in deploying data from the BV-BRC-supported back-end Solr database (bvbrc.org) and establishing new Solr data models for the CEPI knowledge base.

• Independently models new data types as Solr cores or modifications to existing cores and extend the data API for new types.

• Collaborate closely and provides expertise with data scientists within the project to establish data storage and management to support the development and improvement of AI models dynamically built from the knowledge base.

• Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.

• Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.

• Performs other related work as needed.

Preferred Qualifications

Education:

• Bachelorâ™s or higher degree in computer science, engineering, or a related field.

Experience:

• Experience with Solr and non-relational databases.

• Experience with SQL & relational databases (desired).

Technical Skills or Knowledge:

• Proficiency in data modeling in Solr and/or SQL.

• Background in large-scale databases, with production support for databases with millions of rows.

• Familiarity with data modeling and generation for AI training.

• Knowledge of vector databases.

Preferred Competencies

• Ability to design reliable ingest mechanisms.

• Ability to work both independently and collaboratively in a team environment.

• Background understanding or coursework in the biological sciences and related methodologies is a plus.

Application Documents

• Resume/CV (required)

• Cover Letter (required)

• References Contact Information (3)(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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