New

Grad Hourly- AI.Health4All Center

University of Illinois Chicago
United States, Illinois, Chicago
Nov 05, 2025
Grad Hourly- AI.Health4All Center Grad Hourly- AI.Health4All Center Hiring Department: College of Medicine Location: Chicago, IL USA Requisition ID: 1037961 Posting Close Date: 11/21/2025 Salary: The wage for this position is $31.03/hr About the University of Illinois Chicago UIC is among the nation's preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent "Best Colleges" rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago. This position is not eligible for benefits. Position Summary This role is for a researcher who thrives on ambiguity and is driven to architect novel solutions for complex, often poorly defined clinical problems. As a Grad Hourly, you will do more than just run models; you will be expected to explore data to uncover new research questions, formulate unique approaches to solve them, and translate your work into high-impact publications. We are looking for a creative and relentless problem-solver who can navigate the path from a raw dataset to a robust, publication-ready result. Duties & Responsibilities Conduct fundamental and innovative research in applied machine learning for healthcare. Formulate approaches to solve complex problems using well-defined algorithms and data sources. Develop, implement, and rigorously evaluate machine learning models on large-scale health datasets. Perform data exploration to uncover new questions and opportunities within clinical problem areas. Maintain clean, version-controlled code and create reproducible research workflows. Contribute to the writing and preparation of manuscripts for publication in top-tier journals and conferences. Perform other related duties and participate in special projects as assigned. Minimum Qualifications Currently enrolled in a Master's or Ph.D. program in Computer Science, Bioinformatics, Electrical Engineering, or a related quantitative field. Expert proficiency in Python, including deep learning with PyTorch and core data science libraries (NumPy, Pandas, Scikit-learn). Demonstrated proficiency with Git for version control. Solid understanding of machine learning theory (e.g., classification, regression, cross-validation). A proactive and independent mindset, with a demonstrated ability to take initiative and navigate projects with unknown variables. Preferred Qualifications: Prior project experience in Computer Vision, Natural Language Processing (NLP), or Multimodal Learning. Strong theoretical depth, with the ability to explain the mathematical foundations and intuition behind ML algorithms. Proficiency with research infrastructure, including Unix/Linux command line, cloud platforms (AWS, GCP, Azure), database querying (SQL), and containerization (Docker). Solid software engineering fundamentals that go beyond basic scripting (e.g., data structures, algorithms, design patterns). The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation To apply, visit https://uic.csod.com/ux/ats/careersite/1/home/requisition/17324?c=uic Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-e54a17cda8fd2c40b5ea9dcf7d854f80