Data Scientist- AI.Health4All

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. 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.

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.

To apply, visit https://uic.csod.com/ux/ats/careersite/1/home/requisition/19680?c=uic.

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.