Associate Director of AI/ML Research & Training

About the role

The Associate Director, AI/ML Research and Training, provides leadership in advancing artificial intelligence and machine learning research and training initiatives within IHD. The role supports interdisciplinary research, develops training programs, and contributes to extramural funding efforts to enhance institutional research capacity and impact.

Responsibilities

• Lead and support AI/ML research initiatives across clinical, translational, and population health domains.
• Collaborate with faculty to integrate AI/ML methodologies into research projects.
• Contribute to study design, analytic strategies, model development, and validation.
• Develop and oversee AI/ML training programs for faculty, fellows, and students.
• Support development of grant proposals, including NIH and other federal funding opportunities.
• Contribute to scholarly publications, presentations, and dissemination of research findings.
• Facilitate collaborations across departments and with external partners.
• Promote best practices in data stewardship, reproducibility, and responsible AI.

Requirements

• Advanced knowledge of AI/ML methodologies and applications in health research.
• Strong analytical, research design, and problem-solving skills.
• Experience with grant writing and extramural funding processes.
• Ability to lead interdisciplinary teams and training programs.
• Strong communication and collaboration skills across technical and non-technical stakeholders.
• Knowledge of data governance, reproducibility, and responsible AI practices.

Preferred Qualifications

• Doctoral degree (PhD, ScD, DrPH, or equivalent) in data science, computer science, biostatistics, biomedical informatics, or a related field with significant AI/ML focus.
• Must be able to demonstrate experience applying AI/ML methods in biomedical, clinical, or public health research.
• Experience with grant development and interdisciplinary collaboration required.

Physical Requirements

Communicating with others to exchange information.

Environmental Hazards

No adverse environmental conditions expected.

Work Schedule

Monday-Friday, 8:00am-5:00pm.

Driving University Vehicle

No.

Security Sensitive Position

This is a Security Sensitive Position.

Special Instructions

Applicants must submit a minimum of two professional references as part of their application. If needed, additional references can be added after the application has been submitted.

Benefits

For information regarding our Benefits, click here.

EEO Statement

The University of North Texas System is firmly committed to equal opportunity and does not permit – and takes actions to prevent – discrimination, harassment (including sexual violence, domestic violence, dating violence and stalking), and retaliation on the basis of race, color, religion, national origin, sex, age, disability, genetic information, or veteran status in its application, employment practices, and facilities; nor permits race, color, national origin, religion, age, disability, veteran status, or sex discrimination and harassment in its admissions processes, and educational programs and activities. UNT System Administration promptly investigates complaints of discrimination, harassment, and related retaliation and takes remedial action when appropriate. System Administration also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist, or participate in a related investigation or proceeding.