Join the Population Informatics Lab: 

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

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, health economics, epidemiology, and biostatistics dedicated to mentoring junior researchers at the intersection of health and data science 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

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

• may have faculty from other departments & schools (e.g., CSE) co-mentoring on projects as appropriate and are synergetic with 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.

• health services research 

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

• retrospective database studies

• value based payment systems

• 1115 Medicaid Waiver 

• emergency department utilization

• telemedicine/telemonitoring

• HCC and other cancer

• social determinants of health

• patient matching/record linkage

• data governance/ELSI

There is potential for limited opportunities to teach and engage in professional service. This 11-month appointment 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 Apr 1, 2025. 

Qualifications

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

Application Instructions

All applications materials should be submitted through or uploaded to Interfolio https://apply.interfolio.com/142529. 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 (kum@tamu.edu), search committee Chair.

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.