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Assistant Health Informatics Professor information

What is the difference between Assistant Health Informatics Professor vs Clinical Health Informatics Specialist?

AspectAssistant Health Informatics ProfessorClinical Health Informatics Specialist
Required CredentialsMaster's or Doctorate in Health Informatics, related field, or equivalent experienceBachelor's or Master's in Health Informatics, Healthcare, or related field; certifications like CHI or CPHIMS often preferred
Work EnvironmentAcademic settings, universities, research institutionsHealthcare facilities, hospitals, clinics, or healthcare organizations
Employer & Industry UsageHigher education institutions, research grants, academiaHospitals, healthcare providers, health IT companies

While both roles involve health informatics, an Assistant Health Informatics Professor primarily works in academia, focusing on teaching and research. In contrast, a Clinical Health Informatics Specialist applies informatics skills directly within healthcare settings to improve patient care and operational efficiency.

What are the most commonly searched types of Health Informatics Professor jobs in Texas?

The most popular types of Health Informatics Professor jobs in Texas are:

What are popular job titles related to Assistant Health Informatics Professor jobs in Texas?

For Assistant Health Informatics Professor jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Assistant Health Informatics Professor jobs in Texas look for?

The top searched job categories for Assistant Health Informatics Professor jobs in Texas are:

What cities in Texas are hiring for Assistant Health Informatics Professor jobs?

Cities in Texas with the most Assistant Health Informatics Professor job openings:

Assistant Health Informatics Professor jobs near you
Infographic showing various Assistant Health Informatics Professor job openings in Texas as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 14% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Associate or Full Professor - Clinical Informatics, Learning Health Systems, and Health Data Science

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Posted 15 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

107th of 891 rated healthcare providers

Job description

Description
The Peter O'Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center invites applications and nominations for tenure-accruing/tenure-track faculty positions at the Associate Professor or Professor level for investigators with expertise in clinical informatics, learning health systems, health data science, clinical decision support, implementation science, real-world evidence generation, AI-enabled healthcare innovation, or related disciplines.
This is an exceptional opportunity to build and lead a nationally visible research program at the intersection of clinical care, data science, digital innovation, and health system transformation. Successful candidates will have the opportunity to develop, implement, and evaluate informatics interventions in partnership with one of the nation's leading academic health systems and its affiliated care delivery organizations.
The successful candidate will hold a primary appointment in the Department of Health Data Science and Biostatistics within the O'Donnell School of Public Health and will play a leadership role within the Clinical Informatics Center (CIC), a newly established enterprise-wide center focused on advancing learning health systems, clinical decision support, AI implementation, digital health innovation, and data-driven care improvement.
The position offers a unique environment in which research, operations, and education are intentionally aligned. Faculty benefit from direct access to operational informatics teams, enterprise data resources, Epic-based clinical decision support infrastructure, CTSA-supported research programs, and partnerships spanning UT Southwestern, Parkland Health, Children's Health, Texas Health Resources, and the North Texas VA. These partnerships provide unparalleled opportunities to generate evidence from real-world healthcare delivery and rapidly translate discoveries into practice.
Candidates may pursue a broad range of scholarly interests, including but not limited to:
  • Learning Health Systems
  • Clinical decision support and workflow-integrated interventions
  • AI and machine learning in healthcare
  • Knowledge representation, biomedical ontologies, and computable biomedical knowledge
  • Pharmacovigilance, medication safety, and real-world evidence
  • Health data standards, interoperability, and FHIR-enabled innovation
  • Predictive analytics and clinical risk modeling
  • Digital health and healthcare transformation
  • Evaluation of health system interventions and implementation strategies

The successful candidate will be expected to:
  • Develop and sustain a nationally recognized, externally funded research program
  • Provide scientific leadership for learning health system and clinical informatics initiatives
  • Collaborate with operational leaders to evaluate and improve digital interventions deployed in clinical practice
  • Foster interdisciplinary collaborations across public health, medicine, nursing, pharmacy, and health system operations
  • Mentor graduate students, fellows, and junior faculty
  • Contribute to the continued growth of educational programs in health informatics, health data science, and learning health systems
  • Participate in strategic initiatives that strengthen UT Southwestern's national leadership in clinical informatics and health system innovation

This position is particularly well suited for investigators who are motivated by the opportunity to conduct rigorous, high-impact research embedded within healthcare delivery systems and who seek to build programs that bridge discovery, implementation, and measurable improvements in patient care.
Qualifications
  • PhD, ScD, DrPH, or equivalent research doctoral degree in health informatics or health data science
  • Demonstrated ability to conduct scholarly research and capacity to obtain peer-reviewed funding
  • Ability to mentor pre- and post-doctoral students and capacity for teaching excellence at the graduate level
  • Ability to collaborate closely and effectively with other members of multidisciplinary research teams
  • Desire to partner with healthcare systems, public health agencies, and/or community organizations

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