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Postdoctoral Researcher - Epidemiology & Health Data Science and Biostatistics - Luan Lab Req Position

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: UT Southwestern Medical Center
Full Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
  • Research/Development
    Data Scientist
Job Description & How to Apply Below
Position: POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934011, Position#:
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.

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.
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