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Geospatial Research Assistant Jobs in Texas (NOW HIRING)

... meetings. * Assist the supervisor in writing the project reports and potential grant proposals ... Proficiency in geospatial and scientific computing tools (e.g., Python, R, GIS, Google Earth Engine ...

Perform review and quality control on analyzed datasets * Assist in preparation of technical ... geospatial or geophysical datasets About ARA: ARA is an employee-owned international research and ...

Channel Sales Manager

Austin, TX · On-site

$153K/yr

Research and maintain targeted lists of prospective resellers within assigned territories ... Understanding of surveying, construction, engineering, or geospatial workflows. * Experience with ...

Channel Sales Manager

Austin, TX · On-site

$153K/yr

Research and maintain targeted lists of prospective resellers within assigned territories ... Understanding of surveying, construction, engineering, or geospatial workflows. * Experience with ...

Channel Sales Manager

Austin, TX · On-site

$150K/yr

AllTerra Central is the dedicated Trimble Geospatial distributor serving a wide range of industries ... Research and maintain targeted lists of prospective resellers within assigned territories.

Channel Sales Manager

Austin, TX · On-site

$153K/yr

Research and maintain targeted lists of prospective resellers within assigned territories ... Understanding of surveying, construction, engineering, or geospatial workflows. * Experience with ...

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Geospatial Research Assistant information

What are some common challenges faced by geospatial research assistants when working with large spatial datasets?

Geospatial Research Assistants often encounter challenges related to managing and processing large volumes of spatial data from various sources. These challenges include ensuring data accuracy, handling data format compatibility, and optimizing data processing workflows to avoid slowdowns. Additionally, they may need to troubleshoot software or scripting issues, especially when automating repetitive tasks or integrating datasets. Effective collaboration with team members and clear documentation are essential to overcoming these hurdles and ensuring project success.

What is a geospatial research assistant?

Geospatial research assistants are professionals who support research projects by collecting, analyzing, and interpreting spatial data using Geographic Information Systems (GIS) and related technologies. They assist with tasks such as data gathering from maps, satellite imagery, GPS, and other sources, and help create visualizations and reports that inform decision-making in fields like environmental science, urban planning, and public health. Their work is critical for projects that depend on understanding the relationships and patterns within geographic data.

What are the key skills and qualifications needed to thrive as a geospatial research assistant?

A Geospatial Research Assistant should possess strong analytical skills, spatial reasoning, and a background in geography or environmental science, typically supported by a relevant bachelor's degree. Familiarity with GIS software such as ArcGIS or QGIS, data visualization tools, and possibly certifications in geospatial technologies are highly valued. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel when working with complex datasets and interdisciplinary teams. These skills ensure accurate data analysis, clear reporting, and valuable contributions to research projects that rely on spatial information.
What are popular job titles related to Geospatial Research Assistant jobs in Texas? For Geospatial Research Assistant jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Geospatial Research Assistant jobs? Cities in Texas with the most Geospatial Research Assistant job openings:
Infographic showing various Geospatial Research Assistant job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

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

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 22 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 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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