Population Informatics Lab: We have multiple open positions
Are you a highly motivated data scientist (or want to be) 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
talented postdoctorol, graduate and undergraduate students in computer science and health service research (and related fields) to work in the area of Data Science with health, behaviour, and population data.
In particular, you will have opportunities to join multiple interdisciplinary large database research projects relating to poeple at the Population Informatics Lab.
Apply by emailing kum (at) tamu (dot) edu: See details below
Post Doctoral Fellow in Data Science and Population Informatics
We are recruiting for post doctoral fellows
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 starting dates are flexible (available starting now). Applications will be considered until the positions are filled.
The position is multi year with competitive salary.
- Degree requirements
- Postion 1: PhD (or near finishing) in datamining or computer science and related fields in data science
- Position 2: OR PhD (or near finishing) in Health Service Research, epidemiology, health economics or related fields in data intensive fields
- An expert level of working with real data on real problems
- Appropriate experience for your background in sequential pattern mining, record linkage, working with health data, and programming languages like R, python, SAS, and Stata a plus, not required. Desire and aptitude to learning is required.
- Understand the demands of conducting research in a fast-paced environment
- Be able to apply strong organizational and communication skills while being flexible in their daily routine
- This person must be professional, enjoy working in a high-volume environment with ability to multi-task.
- US citizenship or PR preferred, but not required.
If this is you, we invite you to apply to become a member of our Lab.
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.
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
- Using Medicaid claims and administrative data to evaluate the Texas 1115 Medicaid Waiver
- Health services research: Post Acute Care, Emergency Department Use, Diabetes
How to apply
If you are interested in our research, please email Dr. Hye-Chung Kum directly: kum (at) tamu (dot) edu.
- Title of email: [Postdoc/graduate/undergraduate] application
- Body of email
- Very briefly, why you are interested in this position
- Very briefly, 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
- Transcript (unofficial is ok)
- Names, title, and contacts (e.g. email, phone number) of two references.
TAMU Graduate & Undergraduate Students in Computer Science
If you are interested in joining the lab, email Dr. Kum the following. We will be receiving applications until the positions are filled.
- your list of related classes, instructor, and grades from TAMU
- a short description of what in this field you are interested in
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.