Publisher
source

Texas A&M University Health Sciences Center

Just Landed

Postdoctoral Research Associate in Health Policy, Health Informatics, and Data Science Texas A&M University Health Science Center in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Grant-funded postdoctoral position; future employment may depend on future funding. Salary is commensurate.

Country flag

Country

United States

University

Texas A&M University Health Sciences Center

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Data Science
Information Technology
Biostatistics
Health Policy
Medical Science
Population Health
Salud Pública
Statistics
ML

Suggested positions

About this position

Texas A&M University Health Science Center is advertising a Postdoctoral Research Associate position in the Department of Health Policy and Management at College Station, Texas, United States.

The role is based in the Population Informatics Lab and focuses on research in health policy, health informatics, public health, biostatistics, data science, and related areas. The postdoctoral researcher will design health database studies, manage and analyze data, write reports and papers, and contribute to publications. The position also includes mentoring student researchers and helping prepare technical progress reports and presentations.

Eligibility highlights: applicants should have an appropriate PhD in Information Science or a related field. Preferred experience includes statistical programming and machine learning with tools such as R, Python, SAS, or STATA; work with large population datasets such as EHR or claims data; and background in health informatics, population health research, biostatistics, or computer science. Experience in grant writing, qualitative research, survey research, and mixed methods is a plus.

Funding: this is a grant-funded postdoctoral appointment, and continued employment may depend on future funding. Salary is commensurate.

Application: applicants should apply through the Workday portal using the provided link. A cover letter and resume are strongly recommended. The posting does not list a deadline.

Funding details

Grant-funded postdoctoral position; future employment may depend on future funding. Salary is commensurate.

What's required

Appropriate PhD in Information Science or a related field. Preferred background includes a PhD in data science, public health, health services research, health informatics, computer science, or related fields. Experience with data analysis using statistical software and machine learning tools such as R, Python, SAS, or STATA is preferred, along with experience working with large population datasets such as EHR or claims data. Additional desirable experience includes health informatics, population health research, biostatistics, grant writing, qualitative research, survey research, and mixed methods.

How to apply

Apply through the Workday application portal using the provided job link. A cover letter and resume are strongly recommended, and applicants should ensure all application data is complete or upload a resume to avoid rejection.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?