Data Scientist Visa Sponsorship Jobs in Illinois
Data scientist visa sponsorship jobs in Illinois are concentrated in Chicago, where major employers like Allstate, Morningstar, United Airlines, and Narrative Science regularly hire for quantitative roles. The broader metro also draws demand from healthcare systems like Northwestern Medicine and fintech firms, making Illinois one of the stronger Midwest markets for international data science candidates.
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Get Access To All JobsData Scientist - AI.Health4All
Hiring Department: College of Medicine
Location: Chicago, IL USA
Requisition ID: 1039521
Posting Close Date: 6/13/2026
Salary: The budgeted salary rate for the position is $100,000 - 130,000
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 intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.
Position Summary
The Data Scientist will lead and contribute to the design, development, and implementation of artificial intelligence (AI) and machine learning (ML) solutions that advance healthcare delivery, clinical decision-making, and population health research. This role integrates data science, software engineering, and translational research, with a focus on reproducibility, fairness, and real-world clinical impact. The data scientist will serve as a technical and scientific lead, collaborating with faculty, clinicians, and data engineers to deliver impactful applied research projects. The position also includes mentorship of junior researchers and fostering a high standard of technical and scientific excellence across the program.
Duties & Responsibilities
Research and Technical Leadership
- Lead applied AI and ML research projects in healthcare and biomedical domains.
- Develop, fine-tune, and evaluate advanced machine learning models, including deep learning, large language models and multimodal modeling for large scale clinical and biomedical data.
- Translate research findings into deployable systems, decision-support tools, or analytical frameworks.
- Conduct external validation and real-world evaluation of machine learning models using diverse clinical datasets.
- Ensure all research outputs adhere to best practices in reproducibility, documentation, and data integrity.
Collaboration and Grant Development
- Collaborate with clinical investigators and interdisciplinary teams to identify opportunities for AI-driven solutions.
- Contribute to manuscripts, technical reports, and grant proposals, and institutional pilot mechanisms.
- Present project outcomes in academic and professional settings.
Mentorship and Supervision
- Supervise and mentor junior data scientists, research associates, and students.
- Provide guidance on experimental design, software development, and machine learning methodology.
- Promote a collaborative and transparent research environment.
Infrastructure and Innovation
- Develop and maintain data processing pipelines, model repositories, and evaluation tools.
- Implement scalable and secure computing environments that comply with institutional data-governance and privacy policies.
- Develop reproducible data pipelines and collaborative model development environments.
- Support the integration of AI tools into ongoing clinical and translational research workflows.
Minimum Qualifications
- Ph.D. in Computer Science, Electrical Engineering, Biomedical Informatics, or a related field.
- Strong record of research in applied machine learning, natural language processing, or related AI domains.
- Proficiency with modern ML frameworks such as PyTorch, or TensorFlow.
- Demonstrated programming expertise in Python and familiarity with distributed or cloud-based computing.
- Experience working with large or complex datasets, preferably in healthcare or biomedical contexts.
- Evidence of peer-reviewed publications or equivalent research outputs.
- Excellent communication and collaboration skills within multidisciplinary teams.
Preferred Qualifications
- Experience leading or coordinating research and technical teams.
- Prior work with clinical or biomedical data, including electronic health records or medical text.
- Familiarity with data privacy, ethical AI practices, and reproducibility standards.
- Demonstrated success in contributing to or securing research funding.
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.
Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
Data Scientist - AI.Health4All
Hiring Department: College of Medicine
Location: Chicago, IL USA
Requisition ID: 1039521
Posting Close Date: 6/13/2026
Salary: The budgeted salary rate for the position is $100,000 - 130,000
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 intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents.
Position Summary
The Data Scientist will lead and contribute to the design, development, and implementation of artificial intelligence (AI) and machine learning (ML) solutions that advance healthcare delivery, clinical decision-making, and population health research. This role integrates data science, software engineering, and translational research, with a focus on reproducibility, fairness, and real-world clinical impact. The data scientist will serve as a technical and scientific lead, collaborating with faculty, clinicians, and data engineers to deliver impactful applied research projects. The position also includes mentorship of junior researchers and fostering a high standard of technical and scientific excellence across the program.
Duties & Responsibilities
Research and Technical Leadership
- Lead applied AI and ML research projects in healthcare and biomedical domains.
- Develop, fine-tune, and evaluate advanced machine learning models, including deep learning, large language models and multimodal modeling for large scale clinical and biomedical data.
- Translate research findings into deployable systems, decision-support tools, or analytical frameworks.
- Conduct external validation and real-world evaluation of machine learning models using diverse clinical datasets.
- Ensure all research outputs adhere to best practices in reproducibility, documentation, and data integrity.
Collaboration and Grant Development
- Collaborate with clinical investigators and interdisciplinary teams to identify opportunities for AI-driven solutions.
- Contribute to manuscripts, technical reports, and grant proposals, and institutional pilot mechanisms.
- Present project outcomes in academic and professional settings.
Mentorship and Supervision
- Supervise and mentor junior data scientists, research associates, and students.
- Provide guidance on experimental design, software development, and machine learning methodology.
- Promote a collaborative and transparent research environment.
Infrastructure and Innovation
- Develop and maintain data processing pipelines, model repositories, and evaluation tools.
- Implement scalable and secure computing environments that comply with institutional data-governance and privacy policies.
- Develop reproducible data pipelines and collaborative model development environments.
- Support the integration of AI tools into ongoing clinical and translational research workflows.
Minimum Qualifications
- Ph.D. in Computer Science, Electrical Engineering, Biomedical Informatics, or a related field.
- Strong record of research in applied machine learning, natural language processing, or related AI domains.
- Proficiency with modern ML frameworks such as PyTorch, or TensorFlow.
- Demonstrated programming expertise in Python and familiarity with distributed or cloud-based computing.
- Experience working with large or complex datasets, preferably in healthcare or biomedical contexts.
- Evidence of peer-reviewed publications or equivalent research outputs.
- Excellent communication and collaboration skills within multidisciplinary teams.
Preferred Qualifications
- Experience leading or coordinating research and technical teams.
- Prior work with clinical or biomedical data, including electronic health records or medical text.
- Familiarity with data privacy, ethical AI practices, and reproducibility standards.
- Demonstrated success in contributing to or securing research funding.
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.
Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
Data Scientist Job Roles in Illinois
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Search Data Scientist Jobs in IllinoisData Scientist Jobs in Illinois: Frequently Asked Questions
Which companies in Illinois sponsor visas for data scientists?
Several large Illinois-headquartered employers have consistent histories of sponsoring work visas for data scientists, including Allstate, Morningstar, Zebra Technologies, United Airlines, and Baxter International. Chicago-based consulting firms such as Navigant and Outcome Health also appear in federal labor condition application disclosures. Healthcare systems including Northwestern Medicine and Rush University Medical Center sponsor data science roles tied to clinical analytics and research.
What visa types are most common for data scientist roles in Illinois?
The H-1B visa is the most common visa for data scientist positions in Illinois, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as statistics, computer science, or mathematics. Candidates already in the U.S. on OPT or STEM OPT are frequently hired before employers initiate H-1B sponsorship. The O-1A is an option for candidates with documented exceptional achievements in the field.
Which cities in Illinois have the most data scientist visa sponsorship jobs?
Chicago accounts for the large majority of data scientist sponsorship activity in Illinois, particularly in the Loop, River North, and Fulton Market corridors where technology and financial services firms cluster. Evanston and Oak Brook see smaller but meaningful demand tied to Northwestern University affiliates and corporate headquarters respectively. Outside the Chicago metro, Peoria and Champaign-Urbana have limited sponsorship activity, mostly connected to university research roles.
How to find data scientist visa sponsorship jobs in Illinois?
Migrate Mate is built specifically for international candidates and filters data scientist roles in Illinois by visa sponsorship willingness, so you can avoid applying to positions that won't support your work authorization. The platform surfaces roles from employers with verified sponsorship histories in Illinois, which is especially useful for narrowing down Chicago-area opportunities across fintech, healthcare analytics, and enterprise technology without sorting through unsponsored listings.
Are there any Illinois-specific factors data scientists should know about visa sponsorship here?
Illinois employers filing H-1B Labor Condition Applications must pay the prevailing wage for the specific data scientist role and location, determined by the Department of Labor using Chicago-area wage surveys. University of Illinois and Northwestern alumni networks feed a notable share of sponsored data science hires in the state, so candidates connected to those institutions may find warmer employer relationships. Illinois has no state-level visa or work authorization program, so all sponsorship follows standard federal processes.
What is the prevailing wage for sponsored data scientist jobs in Illinois?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.