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Spatial Epidemiology Jobs in Texas (NOW HIRING)

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Spatial Epidemiology information

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$41.9K

$79.4K

$123.9K

How much do spatial epidemiology jobs pay per year?

As of Aug 30, 2026, the average yearly pay for spatial epidemiology in Texas is $79,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $94,100.00 per year, depending on experience, location, and employer.

What is spatial epidemiology?

A Spatial Epidemiology job involves studying the geographic distribution of diseases and health outcomes to identify patterns, causes, and risk factors. Professionals in this field use GIS (Geographic Information Systems) and statistical methods to analyze spatial data and inform public health decisions. They work in government agencies, research institutions, and healthcare organizations to track disease outbreaks, assess environmental health risks, and guide interventions.

What are the typical daily responsibilities of someone working in spatial epidemiology?

Professionals in spatial epidemiology typically spend their days collecting, analyzing, and visualizing health data to identify geographic patterns and trends in diseases. Their work often involves using GIS software to create detailed maps, running statistical models to assess risk factors, and preparing reports or presentations for public health officials. Collaboration with other epidemiologists, researchers, and policy makers is common to translate findings into actionable public health strategies. The role requires a combination of independent data analysis and teamwork to address complex health challenges in diverse communities.

What are the key skills and qualifications needed to thrive in spatial epidemiology?

To thrive in spatial epidemiology, you need a solid background in epidemiology, biostatistics, and geographic information systems (GIS), often supported by an advanced degree in public health or a related field. Proficiency with software such as ArcGIS, R, or Python for spatial analysis and mapping is common, and certifications in these tools or in epidemiology can be advantageous. Strong analytical thinking, communication, and the ability to collaborate across disciplines are valuable soft skills. These abilities are essential for accurately analyzing disease patterns, sharing insights with stakeholders, and supporting effective public health decision-making.

What are the most commonly searched types of Spatial Epidemiology jobs in Texas?

The most popular types of Spatial Epidemiology jobs in Texas are:

What are popular job titles related to Spatial Epidemiology jobs in Texas?

For Spatial Epidemiology jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Spatial Epidemiology jobs in Texas look for?

The top searched job categories for Spatial Epidemiology jobs in Texas are:

Spatial Epidemiology jobs near you
Infographic showing various Spatial Epidemiology job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,397 per year, or $38.2 per hour.

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

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 10 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

106th of 895 rated healthcare providers

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.

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