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Research Assistant Machine Learning Jobs in Illinois

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

Responsibilities : • Design and deploy machine learning models to enhance trading performance across various asset classes • Research, test and prototype new algorithmic ideas; deploy advanced ML ...

IMC

Machine Learning Researcher

Chicago, IL

... machine learning & deep learning to solve challenging trading problems ... This role is part of a central ML research team that collaborates across trading teams at IMC. The ...

IMC

Machine Learning Researcher

Chicago, IL · On-site

$250K - $300K/yr

... machine learning & deep learning to solve challenging trading problems ... This role is part of a central ML research team that collaborates across trading teams at IMC. The ...

IMC

Machine Learning Research Lead

Chicago, IL

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems. This role will drive the development ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and ...

IMC

Machine Learning Research Lead

Chicago, IL · On-site

$250K - $300K/yr

IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems. This role will drive the development ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine ... Design and implement novel machine learning and deep learning models tailored to internal research ...

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Research Assistant Machine Learning information

See Illinois salary details

$8

$21

$30

How much do research assistant machine learning jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for research assistant machine learning in Illinois is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $24.71 per hour, depending on experience, location, and employer.

What is a Research Assistant Machine Learning job?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a Research Assistant in Machine Learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive in the Research Assistant Machine Learning position, and why are they important?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Illinois? For Research Assistant Machine Learning jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Illinois look for? The top searched job categories for Research Assistant Machine Learning jobs in Illinois are:
What cities in Illinois are hiring for Research Assistant Machine Learning jobs? Cities in Illinois with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $44,160 per year, or $21.2 per hour.

Hourly Research Assistants

University of Utah

Campus, IL

$13.82 - $26.94/hr

Part-time

Retirement

Re-posted 10 days ago

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

383rd of 614 rated colleges and universities

Job description

Details
Open Date 05/07/2026 Requisition Number PRN44959B Job Title Hourly Research Assistants Working Title Hourly Research Assistants Career Progression Track S00 Track Level S3 - Skilled, S2 - Intermediate, S1 - Entry Level Support FLSA Code Nonexempt Patient Sensitive Job Code? No Standard Hours per Week 20 Full Time or Part Time? Part Time Shift Day Work Schedule Summary
Hybrid; the candidate must be available to work on-site or attend meetings in person during part of their scheduled hours.
VP Area U of U Health - Academics Department 00952 - Division of Epidemiology Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 12.85 - 28.96 Close Date 08/07/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
The Division of Epidemiology in the Department of Internal Medicine is seeking a Research Assistant to support applied research at the intersection of healthcare, artificial intelligence, and data analysis The primary focus of this role will be large language model (LLMs) and other machine learning model evaluation/deployment, clinical data pipeline development, and natural language processing (NLP)-based chart abstraction. The work will be performed using publicly available data, such as MIMIC-IV, and protected data from the University of Utah Health and the Veterans Health Administration within the UofU CHPC and VA VINCI secure computing environments. This position offers meaningful opportunities to engage in translational research that directly impacts patient care and health system operations.
Job Duties:
  • Develop, maintain, and optimize data processing pipelines for clinical and research datasets using Python and SQL.
  • Assist with the design, training, and evaluation of machine learning models applied to healthcare problems.
  • Support research workflows within established Linux-based environments under technical supervision.
  • Conduct exploratory data analysis and prepare visualizations and summary reports for research collaborators.
  • Contribute to manuscript preparation, documentation, and reproducible research practices.
  • Collaborate with clinical and research faculty, staff, and other trainees.
  • Work within secure, access-controlled computing environments (e.g., VA VINCI, CHPC) following data governance and compliance requirements

Learn more about the great benefits of working for University of Utah: benefits.utah.edu
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
Research Assistant, I
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires little to no related experience.
This is an Entry-Level position in the Support track.
Job Code: S58211
Grade: S14
Expected Pay Range: $12.85 to $25.06

Research Assistant, II
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires at least 1 year of related experience.
This is an Intermediate Level position in the Support track.
Job Code: S58212
Grade: S15
Expected Pay Range: $13.82 to $26.94

Research Assistant, III
Administrative tasks in support of the clinical research program or laboratory. Tasks will vary by department and research category. Typically, manages the front desk, organizes files, and performs other clerical duties associated with research studies and programs. Recruits participants, verifies eligibility, and enrolls subjects. Schedules participant visits and maintains records. Transports samples or laboratory equipment. Monitors inventory levels and orders supplies. Tasks will vary by department and research category.
Requires 3+ years of related experience.
This is a Skilled Level position in the Support track.
Job Code: S58213
Grade: S16
Expected Pay Range: $14.85 to $28.96

Minimum Qualifications
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor's degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels:

Research Assistant, I: Requires little to no related experience.

Research Assistant, II : Requires at least 1 year of related experience.

Research Assistant, III: Requires 3+ years of related experience.

  • Currently enrolled master's student in computing, informatics, data science, biomedical informatics, or a closely related discipline.
  • Intermediate to advanced proficiency in Python and SQL.
  • Experience applying NLP or machine learning methods to real-world datasets (e.g., clinical text, scientific text, or similarly complex unstructured data)
  • Intermediate to advanced experience with Linux system administration (shell scripting, package management, user and service configuration).
  • Ability to execute defined tasks independently while receiving structured technical guidance.
  • Availability to attend on-site meetings or work in person for part of the scheduled time.
  • This position requires eligibility for a VA appointment to access VA research systems (e.g., VINCI). Due to federal requirements, eligibility may be limited based on citizenship or visa status.
  • Experience using or modifying machine learning models such as decision trees, Bayesian models, deep learning architectures, transformers, or LLMs.
  • Familiarity with healthcare data standards (e.g., SNOMED CT, LOINC, RxNorm) or electronic health record systems.
  • Experience with version control (Git/GitHub) and collaborative software development practices.


Preferences Type Benefited Staff Special Instructions Summary
Please submit your resume or CV, including relevant coursework, work experience, and technical skills. A link to your GitHub repository or portfolio of technical work and writing (peer-reviewed papers or other technical/scientific articles, blogs, etc.) is strongly preferred. Applications will be reviewed on a rolling basis.
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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