Join the Population Informatics Lab: 

Are you a highly motivated junior health informatics or data science or applied computer science researcher looking for a good mentored environment interested in data and computationally intensive research in health?

The Population Informatics Lab in the Department of Health Policy & Management, School of Public Health at Texas A&M University invites applications for a full‐time, Post Doctoral Fellow. The lab has multiple senior faculty in computer science, health data science, health informatics, industrial systems engineering, health economics, epidemiology, and biostatistics dedicated to mentoring junior researchers at the intersection of health, data science, and AI with a strong interest in interdisciplinary team approaches to solving real problems. 

This position 

• is higher pay then average post doctoral positions, commiserate on qualifications

• is in the HPM department with full stable long term coverage for many years

• with potential to collaborate with faculty from other departments & schools (e.g., CSE) co-mentoring on projects as appropriate and are synergetic with the lab

• starting with a 2 year commitment, can lead to longer commitments with appropriate promotions to research faculty in the lab

• mentors will also support mid/long term career goals 

The successful candidate will have strong verbal and written communication skills that is critical for interdisciplinary research. They will conduct cutting edge research and provide mentoring for students based in College Station. The candidate will focus primarily on research in some of the areas listed below.

• telemedicine/telemonitoring for chronic care management

• decisions support systems

• hybrid Human Computer Systems

• retrospective database studies in HCC and other cancer, emergency department utilization

• geriatrics including Medicare, dementia 

• mixed methods & qualitative methods (i.e., surveys & interviews)

• value based payment systems

• 1115 Medicaid Waiver 

• social determinants of health

• patient matching/record linkage

• data governance/ELSI

• health services research 

There is potential for limited opportunities to teach and engage in professional service. This position would ideally start immediately. Review of applications will begin immediately and continue until the position is filled; however, for best consideration candidates should apply prior to Aug 1, 2026 

Qualifications

Candidates must hold a doctoral degree in computer science, data science, medical or clinical informatics (not bioinformatics), or a related field. The successful candidate’s scholarship will focus on health informatics (e.g., applications of AI/ML/Data science to Health, medical informatics, clinical informatics, ) and will be aligned with Population Informatics Lab (https://pinformatics.org/).

Application Instructions

All applications materials should be submitted via email to Dr. Hye Chung Kum (kum@tamu.edu). Please provide: 1) curriculum vitae, 2)  a cover letter, 3) personal statement to include research interests, and 4) a list of five (5) references; references will be contacted if you are selected for an interview. Questions regarding this posting may be sent to Dr. Hye Chung Kum, search committee Chair.

Is Post Doc, not the right level for you? 

The Lab had different levels depending on your qualifications. If you are interested, email Dr. Kum. Be clear what position you are seeking.

Who are we

The Population Informatics Lab applies informatics, data science, and computational methods to the increasingly large digital traces available to advance public health, social science, and population research. We also apply mixed methods and qualitative methods to study the informatics systems and data governance/ELSI topics. This research group is a joint effort between UNC-CH and Texas A&M.  Dr. Kum, the lead, is a data scientist with training in both computer science and health and has worked with many data scientists, computer science students to do research on health informatics problems. For more information poke around other sections of this website.