Assistant/Associate/Professor of Epidemiology and Health Outcomes

Job Description

This faculty leader will play a central role in developing a nationally recognized scientific program focused on the impact of health care utilization on rural health outcomes, leveraging an established Medicare claims dataset at UT Tyler (>25 million beneficiaries, 5 years of follow[1]up, including Part D data). The program also has access to electronic health record data from UT Health East Texas (>500,000 patients), offering unique opportunities for integration of claims and clinical data. The program has plans to expand and include other, publicly available datasets.

The University of Texas at Tyler School of Medicine seeks an accomplished quantitative scientist (PhD required in Epidemiology, Biostatistics, Health Services Research, or related field) to join the Department of Medicine as a key faculty member in the UT Tyler Rural Health Outcomes Program.

The successful candidate will direct analytic projects, mentor trainees across all levels (medical students, residents, fellows, junior faculty), and work collaboratively with faculty across UT Tyler and partnering institutions to expand the reach and impact of rural health research. A full-time analyst will report directly to this position, providing dedicated support for data management and advanced analytics.

Key Responsibilities

Program Development & Leadership

• Lead the design, development, and growth of the UT Tyler Rural Health Outcomes Program, with a focus on healthcare utilization and rural health disparities.


• Establish a pipeline of scholarly projects using Medicare claims, UTHET EHR data, and other administrative databases.


• Develop collaborations within UT Tyler School of Medicine, across UT System, and with external academic partners.


• Position the program for extramural funding (NIH, AHRQ, PCORI, foundations).

Research & Scholarship

• Conduct high-impact research using Medicare claims and EHR data to understand drivers of health outcomes in rural populations.


• Publish findings in peer-reviewed journals and present at national and international conferences.


• Serve as PI or Co-I on research grants related to health services research, rural health, or outcomes research.

Mentorship & Education

• Mentor medical students, residents, and fellows in research methods and scholarly projects.


• Provide structured guidance and support for junior faculty career development.


• Contribute to the Department's educational mission by teaching epidemiology, biostatistics, and health services research concepts relevant to rural health.

Operational Oversight

• Supervise a full-time analyst supporting the Rural Health Outcomes Program.


• Ensure high standards of analytic quality, reproducibility, and scientific rigor.


• Guide integration of Medicare claims and UTHET EHR data into a unified research platform.


• Other duties as assigned.

Required Qualifications

• PhD in Epidemiology, Biostatistics, Health Services Research, Population Health, or related quantitative discipline.


• Strong record of peer-reviewed publications and evidence of ability to secure extramural funding.


• Experience in mentorship of trainees and junior faculty.


• Excellent quantitative and analytic skills, including advanced methods in causal inference, longitudinal data analysis, pharmacoepidemiology, or related techniques.


• Commitment to advancing rural health equity and outcomes research.

Preferred Education / Experience:

• Demonstrated expertise in analysis of large administrative or claims datasets (Medicare or equivalent strongly preferred).

Accompanying Knowledge, Skills, Abilities and Competencies

• Excellent organizational skills, flexibility, and the ability to multi-task.


• Capable of interacting with both staff and faculty, at all levels, is crucial to this role.


• The ability to work resourcefully and efficiently in terms of time management, with a high level of professionalism, confidentiality, and autonomy, is also imperative.

Rank / Appointment

• Access to >25 million Medicare beneficiaries with 5 years of follow-up (Parts A, B, and D).


• Access to >500,000 patients' EHR data from UT Health East Texas.


• Dedicated analyst supporting this position.


• Administrative support and mentoring from departmental and institutional leadership.


• Faculty rank commensurate with experience and qualifications.

About The University of Texas at Tyler and UT Tyler Health Science Center

The University of Texas at Tyler is part of the prestigious University of Texas System that includes 14 institutions located throughout the state. Founded in 1971, UT Tyler today enrolls over 10,000 students and consists of six colleges.

Designated an R2 research institution by the Carnegie Classification of Institutions of Higher Education, UT Tyler supports our surrounding region through innovation intended to uplift communities, spearhead sustainability initiatives, preserve ecosystems and support entrepreneurship. UT Tyler has the highest Carnegie classification in East Texas.

Providing exceptional patient care, comprehensive education and innovative research, The University of Texas at Tyler Health Science Center and UT Health East Texas combine to serve as the university medical center for Northeast Texas and beyond.

For more information, please visit https://apptrkr.com/get_redirect.php?id=6647205&targetURL=

Full-time/40 Hours per Week

Salary Range

$90,000-$125,000

Hiring Department

School of Medicine - Internal Medicine

Location

UT Tyler Health Science Center

Required Application Materials

A single PDF or Word document containing a resume, letter of interest, and a list of the names and contact information for three (3) professional references is required to apply.

Important Instructions:

When prompted to upload your "resume", upload your combined documents as one file.Please do not upload documents to "Cover Letter" or "References".
If the required application materials were not uploaded at the "resume" prompt, please withdraw your application, and re-apply to upload your combined documents as one file.