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Texas A&M University Health Sciences Center

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

Degree Level

Postdoc

Field of study

Computer Science

Funding

Grant funded position; future employment may depend on future funding. Salary is commensurate. Standard employee benefits are listed, including medical, dental, vision, life and AD&D, flexible spending accounts, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development, and tuition assistance.

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Country

United States

University

Texas A&M University Health Sciences Center

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Keywords

Computer Science
Sociology
Psychology
Information Technology
Biology
Mathematics
Medical Science
Salud Pública
Economics
Statistics

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About this position

Texas A&M University Health Science Center is hiring a Postdoctoral Research Associate in the Department of Health Policy and Management at its College Station, Texas campus.

The role is centered on research in the Population Informatics Lab, with responsibilities including designing health database studies, managing and analyzing data, writing reports and papers, preparing presentations, and contributing to technical progress reports for sponsors. The position also includes mentoring or supervising student researchers and graduate students.

This opening is especially relevant for candidates with a background in Public Health, Statistics, Computer Science, Information Technology, or related fields. The posting explicitly welcomes PhD training in data science, public health, industrial and systems engineering, economics, mathematics, physics, epidemiology, health services research, social work, sociology, or psychology.

Preferred experience includes statistical programming in R, Python, SAS, MPlus, or STATA; work with large population datasets such as EHR, claims, or national surveys; health informatics, population health research, or biostatistics; grant writing; technical government reports; predictive and responsible AI; survey research; and mentoring students.

The position is grant funded, so future employment may depend on future funding. Salary is listed as commensurate, and Texas A&M provides a standard employee benefits package including medical, dental, vision, retirement, paid leave, wellness, professional development, and tuition assistance.

Applications must be submitted through the Workday job portal. Applicants should complete all required fields or attach a full resume, as incomplete applications may be rejected.

Funding details

Grant funded position; future employment may depend on future funding. Salary is commensurate. Standard employee benefits are listed, including medical, dental, vision, life and AD&D, flexible spending accounts, disability insurance, paid holidays, sick leave, vacation, retirement enrollment, professional development, and tuition assistance.

What's required

PhD in data science and/or public health or a related field such as industrial and systems engineering, computer science, economics, statistics, mathematics, physics, epidemiology, health services research, social work, sociology, or psychology. Preferred background includes data analysis with R, Python, SAS, MPlus, or STATA; experience with large population datasets such as EHR, claims, or national surveys; background in health informatics, population health research, or biostatistics; grant writing and research funding experience; technical government report writing; predictive and responsible AI; survey research and analysis; mental health, health insurance, and reimbursement policy experience; and mentoring students. Strong oral and written communication, independent and collaborative work, and strong interpersonal, organizational, multitasking, and presentation skills are also desired.

How to apply

Apply through the Texas A&M Workday job portal linked in the posting. Complete all required application fields or upload a resume to avoid rejection. Applicants may also use a LinkedIn profile to pre-populate the application.

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