Assistant Professor, Cardiovascular Medicine

Utmb; Galveston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

The University of Texas Medical Branch (UTMB) seeks a tenure-track Assistant Professor to strengthen interdisciplinary cardiovascular research. The 80% effort in Cardiovascular Medicine and SHVI will emphasize research and scholarly activity, with a 20% appointment in Biostatistics and Data Science for teaching and related academic activities.

Essential duties include leading AI-enabled cardiovascular research, publishing, grant development, and collaboration across departments and partners,

Qualifications

• Doctoral degree in a discipline relevant to cardiovascular research, biostatistics, data science, population health, or a related field.
• Academic credentials and scholarly accomplishments appropriate for appointment as a tenure-track Assistant Professor at UTMB.
• Demonstrated ability to conduct rigorous, collaborative, data-driven research.
• Record of scientific productivity, including peer‑reviewed publications.
• Strong communication, teaching, organizational, and interdisciplinary collaboration skills.

Responsibilities

• Develop and apply artificial intelligence approaches in cardiovascular disease and clinical operations, including opportunistic screening and large language models.
• Produce peer‑reviewed publications and develop extramural grant applications that advance cardiovascular research.
• Build interdisciplinary collaborative research programs across Cardiovascular Medicine, SHVI, SPPH, and other academic partners.
• Conduct research using the Galveston Heart Study and its associated sub-studies.
• Lead and support research involving remote patient monitoring, wearable technologies, digital health, and other emerging approaches to cardiovascular care.
• Develop selected quality‑improvement initiatives and implement AI-enabled tools to improve cardiovascular clinical operations, care delivery, and patient outcomes.
• Teach and participate in academic activities within the Department of Biostatistics and Data Science in support of the SPPH educational mission.

Skills

AI expertise

Large language models

Data-driven research

Interdisciplinary collaboration

Education

Doctoral degree in relevant field

Tools

Wearable tech

Digital health tools

Remote monitoring tools

Job description

The University of Texas Medical Branch (UTMB) seeks a tenure-track Assistant Professor for a joint academic appointment that will strengthen interdisciplinary cardiovascular research. The position will devote 80% effort to the Sealy Department of Cardiovascular Medicine and the Sealy Heart & Vascular Institute (SHVI), with a secondary 20% appointment in the Department of Biostatistics and Data Science within the School of Public and Population Health (SPPH).
The Cardiovascular Medicine and SHVI effort will focus primarily on research and scholarly activity, with a limited component supporting quality improvement, AI-enabled clinical operations, and education. The SPPH effort will focus primarily on teaching and related academic activities that advance the educational mission of the School.

Essential Duties and Responsibilities:

• Develop and apply artificial intelligence approaches in cardiovascular disease and clinical operations, including opportunistic screening and large language models.
• Produce peer-reviewed publications and develop extramural grant applications that advance cardiovascular research.
• Build interdisciplinary collaborative research programs across Cardiovascular Medicine, SHVI, SPPH, and other academic partners.
• Conduct research using the Galveston Heart Study and its associated sub-studies.
• Lead and support research involving remote patient monitoring, wearable technologies, digital health, and other emerging approaches to cardiovascular care.
• Develop selected quality-improvement initiatives and implement AI-enabled tools to improve cardiovascular clinical operations, care delivery, and patient outcomes.
• Teach and participate in academic activities within the Department of Biostatistics and Data Science in support of the SPPH educational mission.

Minimum Qualifications:

• Doctoral degree in a discipline relevant to cardiovascular research, biostatistics, data science, population health, or a related field.
• Academic credentials and scholarly accomplishments appropriate for appointment as a tenure-track Assistant Professor at UTMB.
• Demonstrated ability to conduct rigorous, collaborative, data-driven research.
• Record of scientific productivity, including peer-reviewed publications.
• Strong communication, teaching, organizational, and interdisciplinary collaboration skills.

Preferred Qualifications:

• Expertise in artificial intelligence, large language models, advanced analytics, or data science applications in cardiovascular health.
• Experience with population cardiovascular health, clinical quality improvement, implementation science, or translational research.
• Experience with longitudinal cohort studies, including research comparable to the Galveston Heart Study.
• Experience with remote patient monitoring, wearable technologies, or digital health research.
• Demonstrated success in extramural grant development and interdisciplinary academic collaboration.

Academic Rank
Appointment will be at the tenure-track Assistant Professor level, consistent with the approved faculty workforce request and institutional appointment criteria.

SALARY:
Commensurate with experience.

EQUAL EMPLOYMENT OPPORTUNITY:

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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