Job Description:

• Design, implement, and maintain AI/ML pipelines in support of ongoing research projects.

• Analyze large-scale data (e.g., digital pathology slides) using standard AI/ML libraries (e.g., PyTorch, TensorFlow).

• Contribute to image processing and algorithm development to support the identification of novel biomarkers and disease phenotypes.

• Write clean, efficient code primarily in Python and work with Bash/Slurm scripting as needed; as we utilize distributed computing resources to accelerate model training and large-scale data analyses.

• Collaborate with team members to optimize compute workflows and troubleshoot technical bottlenecks.

• Assists in analyzing data for the purpose of extracting applicable information. Performs research projects that provide analysis for a number of programs and initiatives.

• May assist staff or faculty members with data manipulation, statistical applications, programming, analysis and modeling on a scheduled or ad-hoc basis.

• Collects, organizes, and may analyze information from the University's various internal data systems as well as from external sources.

• Maintains and analyzes statistical models using general knowledge of best practices in machine learning and statistical inference. Performs maintenance on large and complex research and administrative datasets. Responds to requests and engages other IT resources as needed.

• Performs other related work as needed.

Preferred Qualifications

Education:

• A degree in Computer Science, Bioinformatics, Engineering, or a related field.

Experience:

• Experience in a research or lab setting is an advantage but not mandatory.

Preferred Competencies

• Strong coding background, preferably proficiency in Python programming.

• Enthusiasm for applying AI/ML techniques in a research environment.

• Familiarity with machine learning libraries or frameworks such as PyTorch, TensorFlow, experience with image analysis, especially in a biomedical context or even exposure to bioinformatics tools or pipelines would be a plus. As would be an understanding of hands-on experience with high-performance computing resources (e.g., Slurm).

• Strong problem-solving skills and the ability to work independently on complex research tasks.

• Strong attention to detail. 

• Organizational skills. 

• Excellent Verbal and written communication skills. 

• Work independently and as part of a team. 

Working Conditions

• Office / Lab Setting.

Application Documents

• Resume (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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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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