Population Informatics Lab: TAMIDS Postdoctoral Fellows

Recruiting Post Doctoral Fellow in Data Science and Population Informatics

Apply by emailing kum (at) tamu (dot) edu

Are you a highly motivated data scientist looking for a chance to get involved with exciting research in the emerging field of population informatics? Do you learn by actually working on real problems? Would you like to apply your data science skill to work on real problems with real data about people and become an expert SAS programmer (prior knowledge not required, but desire to learn required. This is one of the man languages used to manipulate health data)?

The Population Informatics Lab under the lead of Dr. Hye-Chung Kum (cross trained in computer science, PhD in dataminig, and masters in policy & management) is now accepting applications for post doctoral fellow in data science to join the Texas A&M Institute of Data Science (TAMIDS) and the Department of Health Policy & Management, School of Public Health, Texas A&M University, College Station, TX.

The successful applicant will bring an expert level of working with real data on real problems to the position and understand the demands of conducting research in a fast-paced environment. This person must be professional, enjoy working in a high-volume environment with ability to multi-task, and be able to apply strong organizational and communication skills while being flexible in their daily routine. If this is you, we invite you to apply to become a member of our Lab.

Job Description

If selected, you will be one of the TAMIDS Postdoctoral Fellows and join a peer group of data scientists at TAMIDS collaborating on interdisciplinary data intensive research.
In particular, you will have opportunities to join multiple interdisciplinary large database research projects relating to poeple at the Population Informatics Lab. Some examples are

  • Using administrative VA data to better understand mental health services and condition using sequential pattern mining (US citizens and PR preferred)
  • Record linkage: Data integration of population data
  • Telemedicine & Telemonitoring
  • Health services research: Post Acute Care, Emergency Department Use, Diabetes

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. 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.

Texas A&M Institute of Data Science (TAMIDS) pursues new approaches to Data Science research, education, operations and partnership. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges.


Successful applicants have strong academic credentials with a PhD from data science fields in computer science and related fiels with experience working on real problems with real data. Experience with sequential pattern mining, record linkage, working with health data, and programming languages like R, python, SAS, and Stata a plus.

How to apply

If you are interested in our research, please email Dr. Hye-Chung Kum directly: kum (at) tamu (dot) edu.

  • Body of email
    • Very briefly, why you are interested in this position
    • Very breifly, describe a data science project you have done that is most relevent, and exactly what your role and contributions to the project were.
    • Very briefly, what would you like to get out of the experience
    • Very briefly, what are you looking for in your experience
  • Attach
    • CV
    • Transcript (unofficial is ok)