What are the responsibilities and job description for the Data Science Faculty position at University of Nebraska Medical Center?

Requisition Details

GENERAL REQUISITION INFORMATION

EEO Statement :

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

Location

Omaha, NE

Requisition Number : 2025 - 030

Department

CAHP Research Administration 50007351

Business Unit(College / Institute)

College of Allied Health Professions

FTE : Reg-Temp

Full-Time Regular

Work Schedule

TBD by Program Director

Requisition Category

Faculty

Requisition Title

Data Science Faculty

Job Title / Academic Rank

Data Science Faculty DOQ

Additional Requisition Title

Data Science Faculty

Appointment Type

L1 - REG SPECIAL FAC / S

Salary Range

Salary Commensurate with Experience

Job / EEO Category

Faculty

Job Requisition Begin Date

01 / 23 / 2025

Position Qualification

Position Summary

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.

Required Qualifications

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.

Supplemental Qualifications

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.

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