Data Science Faculty

UNMC is an Affirmative Action Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.

100

The College of Allied Health Professions (CAHP) invites applications for a potential tenure-leading faculty position specializing in data science. This position is part of a strategic initiative to strengthen our informatics capabilities and connect foundational methodologies with real-world healthcare applications. The successful candidate will join a vibrant academic healthcare system, working to advance clinical and translational research.

The Data Science faculty member will:
· Collaborate across various units within the University of Nebraska Medical Center (UNMC) and its clinical partners, including Nebraska Medicine (NM) and Children’s Hospital and Medical Center.

· Engage in productive interactions with institutions such as the National Institutes of Health-funded Great Plains IDeA Clinical and Translational Research (GP IDeA-CTR) network, which includes multiple Nebraska University Institutions, Creighton University, Boys Town, and others.

· Leverage informatics and computational methods to apply real-world solutions within research and clinical settings.

· Participate in externally funded research and educational programs in informatics.

· Mentor junior faculty, graduate students, and professional students in research and curricular matters.

· Contribute to the M.S. and Ph.D. programs in Bioinformatics, Clinical Informatics, and Applied Health Informatics graduate certificate.

· Opportunities for collaboration with Computer Sciences programs at the University of Nebraska at Omaha and University of Nebraska at Lincoln.

The ideal candidate will have:

· A Doctoral degree in biomedical informatics, data science, statistics, or related fields.

· Knowledge of current research and deployment of informatics approaches, including the use of electronic health record (EHR) data, large “omics” datasets, or other high-density data methods to address significant biomedical issues. Emphasis on clinical or clinical-translational research questions in a learning health system.

· Expertise in ML/AI approaches, bioinformatics, clinical research informatics, clinical decision support, image informatics, population health informatics, and/or the intersection of informatics and health services research.

· A demonstrated capacity for program development, project management, leadership, and collaboration, including the ability to work effectively with administrators, faculty, staff, residents/fellows, and students.

· The proven ability to lead and work in multi-disciplinary teams.

· A record of government and/or industry grant support.

· A record of high-quality peer-reviewed publications.

· The ability to communicate effectively in both written and oral presentations.

· Possess outstanding interpersonal skills to gain the confidence and respect of a wide variety of constituents.

· Inspire colleagues and staff to strive for excellence in research.

· Demonstrate honesty, trustworthiness, transparency, and a commitment to listening carefully and objectively through their actions, words, and professional conduct.

· Possess expertise in data science with a focus on informatics
· The demonstrated the ability to collaborate effectively across disciplines and institutions.

· Show a commitment to advancing clinical and translational research through innovative informatics solutions.

NA

Computing, mousing.