Data Scientist- AI.Health4All

University-of-Illinoi; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life Insurance

Retirement Plan

Paid time off

Tuition waivers for employees and/or;/

Job summary

University of Illinois Chicago is seeking a Data Scientist to lead and contribute to AI/ML research advancing healthcare delivery and clinical decision-making. The role integrates data science, software engineering, and translational research with a focus on reproducibility and real-world impact.

You will collaborate with faculty, clinicians, and data engineers, mentoring junior researchers and helping build scalable, secure computing environments in alignment with institutional policies.

Qualifications

• Ph.D. in Computer Science, Electrical Engineering, Biomedical Informatics, or a related field.
• Strong record of research in applied machine learning, NLP, or related AI domains.
• Evidence of peer‑reviewed publications or equivalent research outputs.

Responsibilities

• Lead applied AI/ML research projects in healthcare and biomedical domains.
• Collaborate with clinical investigators and interdisciplinary teams; develop grant proposals and manuscripts.
• Mentor junior data scientists and research staff; guide experimental design and ML methodology.
• Develop and maintain data pipelines, model repositories, and evaluation tools; ensure reproducibility.

Skills

Strong ML research

PyTorch/TensorFlow proficiency

Python programming

Healthcare data experience

Publications evidence

Collaboration skills

Education

Ph.D. in CS/EE/ Biomedical Informatics

Tools

PyTorch

TensorFlow

Job description

Posted on: 10/5/2026 - Application Deadline: 11/2/2026

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, LifeInsurance, 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

• Researchand 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. large language models and multimodal architectures.
  -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.
  
• Collaborationand 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.
  -Mentorshipand 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.
  
• Infrastructureand 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.

SearchExtended until November 2, 2026

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, LifeInsurance, 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

• Researchand 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. large language models and multimodal architectures.
  -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.
  
• Collaborationand 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.
  -Mentorshipand 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.
  
• Infrastructureand 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.

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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, covid sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify.

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.