Job Description

Position Summary:
Are you ready to take your expertise in Artificial Intelligence (AI) and Data Science to the forefront of healthcare education? The University of Illinois College of Medicine’s Department of Medical Education is seeking a Postdoctoral Research Associate to drive innovative projects at the intersection of AI, data science, and health professions education. This position offers a unique opportunity to make a cutting-edge contribution to the way future healthcare professionals are trained, focusing on enhancing assessment methods, teaching techniques, and promoting equity and ethics in medical education.

As a key member of our team, you will apply your knowledge of AI and data science to improve training, curricula, and evaluations in health professions education. This is a great opportunity to develop your research career while making an impact on the future of medical education and the healthcare workforce.

Why Join Us?

• Groundbreaking Work: Play a central role in the integration of AI in healthcare education, with a focus on diverse and equitable applications.
• Mentored Research: Gain invaluable experience in developing AI models and data science applications, preparing publications, and contributing to grant writing.
• Teaching & Collaboration: Engage in teaching, collaborate with leading experts, and contribute to the future of healthcare education at a top-tier institution.
• Access to Resources: Take advantage of the University of Illinois’ expansive research opportunities and access to cutting-edge AI and data science resources.
• Competitive Compensation & Benefits: Enjoy a comprehensive benefits package including health insurance, paid leave, and tuition waivers for employees and their families.

Key Responsibilities:

• Apply AI and data science techniques to transform health professions education, focusing on areas like assessment, teaching, ethics, and equity.
• Collaborate on impactful AI-driven projects to enhance learning and professional development within medical education.
• Develop and implement AI models and data science methodologies tailored to the education and evaluation of healthcare professionals.
• Participate in the development of new curriculum and educational materials based on data-driven insights.
• Write manuscripts for publication, prepare grant proposals, and contribute to the department’s research agenda.
• Engage with students, faculty, and staff to help build an inclusive and innovative learning environment.
• Teach one course per year and actively participate in mentoring programs.

Minimum Qualifications:

• A doctoral degree (PhD, EdD, MD, or equivalent terminal degree) by the start date of the position.
• Demonstrated experience in AI model development and data science methodologies.
• Background in health professions education or experience working with health-related data.
• Strong communication and writing skills, including the ability to write research papers and grant proposals.

Preferred Qualifications:

• Experience in teaching at the undergraduate or graduate level.
• Familiarity with applying AI to improve health equity or studying its impact on equitable access to healthcare.

How to Apply:Applications will be reviewed on a rolling basis, with full consideration given to applications received by January 31, 2025. To apply, submit the following:

1. Cover Letter: Summarize your research interests, career goals, and how you plan to contribute to the university’s commitment to diversity in education.
2. Curriculum Vitae: Provide a detailed CV outlining your education, research experience, and relevant skills.
3. References: Include the names and contact information of three academic references.
4. Writing Sample: Submit a writing sample such as a dissertation chapter, published paper, or manuscript currently under review that showcases your research work.

Salary & Benefits:

• Salary: $61,000 - $74,100 (based on NIH postdoctoral guidelines).
• Benefits: Comprehensive health, dental, and vision insurance, life and disability coverage, paid leave, pension plan, and tuition waivers for employees and their dependents.