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Decision Making Postdoc Jobs in Texas (NOW HIRING)

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Decision Making Postdoc information

What are common challenges faced by decision making postdocs in balancing independent research with collaborative projects?

Decision Making Postdocs often need to strike a balance between pursuing their own research interests and contributing to larger lab or team projects. Juggling independent work with collaborative studies can be challenging, especially when timelines or methodologies differ. Success in this role typically involves strong communication skills, flexibility, and effective time management, as well as openness to interdisciplinary feedback. Navigating these dynamics helps postdocs build valuable experience for future academic or industry positions.

What is a decision making postdoc?

A Decision Making Postdoc is a researcher who has completed their PhD and is conducting advanced research in the field of decision-making. This typically involves studying how individuals or groups make choices, using methods from psychology, neuroscience, economics, or related disciplines. Postdocs in this area often work on experimental design, data analysis, and publishing their findings, while collaborating with faculty and other researchers. The position is usually temporary, intended to further develop scholarly skills and prepare for an academic or industry career.

What is the difference between Decision Making Postdoc vs Data Scientist?

AspectDecision Making PostdocData Scientist
Required CredentialsPhD in relevant field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentAcademic or research institutions, labsTech companies, finance, healthcare, industry
Employer & Industry UsageResearch-focused roles, academiaIndustry roles, product development, analytics
Common Search & ComparisonDecision Making Postdoc vs Data Scientist

The Decision Making Postdoc primarily focuses on research and theoretical analysis related to decision processes, often within academic or research settings. In contrast, Data Scientists apply data analysis, modeling, and machine learning techniques to solve practical problems in industry. While both roles require strong analytical skills, Decision Making Postdocs emphasize research and theoretical frameworks, whereas Data Scientists focus on data-driven solutions for business applications.

What are the key skills and qualifications needed to thrive as a decision making postdoc, and why are they important?

To thrive as a Decision Making Postdoc, you need a PhD in psychology, neuroscience, economics, or a related field, along with a strong background in experimental design and data analysis. Expertise in statistical software (such as R, MATLAB, or Python) and experience with behavioral or neuroimaging methods are typically required. Outstanding analytical thinking, problem-solving abilities, and effective scientific communication skills help you excel in collaborative research environments. These competencies are crucial for producing rigorous research, advancing knowledge in decision-making science, and contributing to interdisciplinary projects.
What cities in Texas are hiring for Decision Making Postdoc jobs? Cities in Texas with the most Decision Making Postdoc job openings:
Infographic showing various Decision Making Postdoc job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution.

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago


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Job description

A postdoctoral fellow position in AI and Data Science is now available in the laboratories of Dr. Guanghua Xiao at the Quantitative Biomedical Research Center in the Peter O'Donnell School of Public Health at UT Southwestern Medical Center at UT Southwestern Medical Center at Dallas.

The Quantitative Biomedical Research Center (QBRC) is a well-established interdisciplinary research center at UT Southwestern that brings together experts in artificial intelligence, machine learning, predictive modeling, clinical informatics, digital pathology, and biomedical data science. Our goal is to develop cutting-edge computational methods and tools that enable novel discoveries and support data-driven decision-making in health care and public health.

We are seeking highly motivated, creative, and collaborative postdoctoral candidates to join our dynamic team and contribute to a portfolio of research projects applying AI and data science to real-world health care and public health data. The main research areas include:

Electronic Health Records (EHR)

Medical imaging (e.g., radiology and pathology)

Real-time monitoring and wearable sensor data

The successful candidate will have the opportunity to lead and contribute to innovative projects in clinical prediction modeling, disease progression modeling, population health surveillance, and digital biomarker discovery. Our center also supports strong collaborations with clinicians, data scientists, and public health researchers.

Qualifications:

Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.

Strong programming skills and experience with machine learning, deep learning, or AI applications.

Interest or experience in working with large-scale health-related datasets.

Qualifications:

Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.

Strong programming skills and experience with machine learning, deep learning, or AI applications.

Interest or experience in working with large-scale health-related datasets.

Application materials must be submitted through Interfolio.

Interested individuals must upload a CV, cover letter, and a list of three references.

UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.

This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.

Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.

To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/

Benefits
    UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
    • PPO medical plan, available day one at no cost for full-time employee-only coverage
    • 100% coverage for preventive healthcare - no copay
    • Paid Time Off, available day one
    • Retirement Programs through the Teacher Retirement System of Texas (TRS)
    • Paid Parental Leave Benefit
    • Wellness programs
    • Tuition Reimbursement
    • Public Service Loan Forgiveness (PSLF) Qualified Employer
    • Learn more about these and other UTSW employee benefits!

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