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Bayesian Statistics Postdoc Jobs (NOW HIRING)

Utah State University

Postdoctoral Fellow

Logan, UT · On-site

$42K - $57K/yr

The postdoc will use existing data sets to directly test this hypothesis for net primary ... Conduct statistical analyses using frequentist and Bayesian approaches * Prepare peer-review ...

Utah State University

Postdoctoral Fellow

Logan, UT · On-site

$42K - $57K/yr

The postdoc will use existing data sets to directly test this hypothesis for net primary ... Conduct statistical analyses using frequentist and Bayesian approaches * Prepare peer-review ...

Umd

Postdoctoral Associate

College Park, MD · On-site

$75K - $80K/yr

The postdoctoral research associate is responsible for developing novel computational methodology ... statistical inference (e.g. generative graphical models, maximum likelihood inference, Bayesian ...

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How much do bayesian statistics postdoc jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for bayesian statistics postdoc in the United States is $15.69, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.27 per hour, depending on experience, location, and employer.

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Infographic showing various Bayesian Statistics Postdoc job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $32,637 per year, or $15.7 per hour.

POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees
Learn more about UT Southwestern Medical Centerexternal

Full-time

Re-posted 24 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

Job description

Description
POSTDOCTORAL RESEARCHER - We invite applications for a Postdoctoral Researcher position focused on applying LLMs and GeoAI in geospatial health data analysis. This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial health datasets on different topics (e.g., HIV, cardiology, and cancer) from various data sources (e.g., longitudinal health surveys, Electronic Health Record, open data). The successful candidate will also help develop an LLM-based spatial analysis tool, promote its use by public health researchers and practitioners, and assess the tool's acceptability and feasibility.
Description of Duties and Responsibilities:
• Train and fine-turning LLMs and GeoAI models for geospatial health data analysis.
• Develop an LLM-based spatial analysis tool and assess its acceptability and feasibility.
• Collaborate with experts in epidemiology, health data science, and computer science.
• Prepare manuscripts for peer-reviewed journals.
• Present research at academic conferences.
• Assist and develop new grant proposals on related topics for submission to funding agencies.
• Mentor graduate students in the research team.
Term: One year with potential extension based on performance and funding availability
Visa sponorship: J-1 if needed
Qualifications
Required Qualifications:
• A Ph.D. in Computer Science, Health Informatics, Geospatial Data Science, Statistics, or a related field.
• Strong background in (geospatial) AI and generative AI/LLM.
• Strong R or Python programming skills.
• Proven ability to publish in high-impact academic journals.
• Strong written and oral communication skills.
Desired Qualifications
• Experience with GeoAI applications in Street View Images and Remote Sensing
• Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization
• Knowledge of spatial epidemiology
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references.
Equal Employment Opportunity Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, 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, visit https://www.utsouthwestern.edu/employees/hr-resources/

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