Job Description:

• Develops and builds upon open source software for the monitoring of AI in the clinic.
• Works closely with lab members and data scientists within the health system to support the study of model implementation.
• Assists in the research, development and/or application of machine learning models to clinical data.
• Participates in the evaluation and validation of developed models across multiple datasets and/or settings.
• Supports lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars.
• Participates in lab activities including collaborative meetings, offering feedback to other members of the lab, literature review and preparing materials for research presentations.
• Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
• Performs other related work as needed.

Preferred Qualifications

Education:

• Advanced degree in computer science, data science, biomedical informatics or a related field.

Technical Skills or Knowledge:

• Programming skills in Python or other languages commonly used for statistical programming (e.g., R).

Preferred Competencies

• Strong Analytical skills.
• Problem-solving skills.
• Organizational skills.
• Verbal and written communication skills.
• Work independently and as part of a team.â‹

Application Documents

• Resume/CV (required)
• Cover Letter (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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