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Scientific Visualization Jobs in Texas (NOW HIRING)

LSU AgCenter

Postdoctoral Researcher

Center, TX

Projects will span compound flood forecasting, informing coastal digital twins, immersive scientific visualization, and creative technology applications in spatial computing. Candidates should bring ...

Diverse Lynx

Earnix Developer

San Antonio, TX · On-site

... science • Strong knowledge of Statistical analysis • Strong knowledge of Predictive modeling • Strong knowledge of Machine learning concepts • Strong knowledge of Data visualization • ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

... visualization and analytics. The Data Scientist Level 3 shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

San Antonio, TX

... visualization and analytics. The Data Scientist Level 3 shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

San Antonio, TX · On-site

... visualization and analytics. The Data Scientist Level 3 shall possess the following capabilities: Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Victory

Data Scientist

Austin, TX

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Organize and present information using data visualization techniques * Develop and suggest ...

Victory

Data Scientist

Austin, TX · On-site +1

About the Data Scientist position We are looking for a skilled Data Scientist who will help us ... Organize and present information using data visualization techniques * Develop and suggest ...

First Cash, Inc.

Data Scientist

Coppell, TX

Description Data Scientist American First Finance is seeking a Data Scientist to turn complex data ... In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ...

American First Finance

Data Scientist

Coppell, TX · On-site

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ...

American First Finance

Data Scientist

Coppell, TX · On-site

Data Scientist American First Finance is seeking a Data Scientist to turn complex data into ... In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ...

FirstCash, Inc.

Data Scientist

Coppell, TX · On-site

In this role, you'll leverage advanced analytics, machine learning, and visualization tools to ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

SOSi

Data Scientist

El Paso, TX

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

SOSi

Data Scientist

El Paso, TX · On-site

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

SOSi

Data Scientist

El Paso, TX

Overview SOSi is seeking a Data Scientist to join our team ... In this role, you will leverage statistical analysis, machine learning, and data visualization ...

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All JobsScientific Visualization JobsScientific Visualization Jobs in Texas

Scientific Visualization information

See Texas salary details

$24.2K

$57.8K

$93.6K

How much do scientific visualization jobs pay per year?

As of Jul 16, 2026, the average yearly pay for scientific visualization in Texas is $57,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $67,500.00 per year, depending on experience, location, and employer.

What are typical projects or tasks a Scientific Visualization professional works on?

Scientific Visualization professionals often work on projects that involve transforming large or complex datasets—such as those from simulations, experiments, or sensors—into interactive graphics, animations, or 3D models that reveal underlying patterns and trends. Day-to-day tasks may include collaborating closely with scientists and engineers to understand their data needs, developing custom visualization scripts, preparing publication-quality images, or building user-friendly visual interfaces for data exploration. Team structures can vary, but it's common to work in multidisciplinary groups where clear communication and iterative development are key. This hands-on, collaborative approach helps ensure that the resulting visuals are both scientifically accurate and accessible to the intended audience.

What are the key skills and qualifications needed to thrive in the Scientific Visualization position, and why are they important?

Excelling in Scientific Visualization requires a solid background in data analysis, computer graphics, and a relevant scientific discipline, often backed by a degree in fields like computer science, physics, or engineering. Familiarity with visualization software (e.g., ParaView, VTK, MATLAB), programming languages (such as Python or C++), and experience with 3D modeling tools are commonly expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex information clearly are invaluable. These combined abilities are crucial for transforming intricate scientific data into visual formats that are both accurate and easily interpretable for various audiences.

What is a Scientific Visualization job?

A Scientific Visualization job involves creating graphical representations of complex scientific data to help researchers, scientists, and the public understand patterns, relationships, and trends. Professionals in this field use tools like computer graphics, data analysis software, and programming languages to translate numerical or experimental data into visual formats such as 3D models, animations, or interactive simulations. These visualizations are widely used in fields such as medicine, engineering, climatology, and astrophysics to communicate findings effectively. The role requires a combination of technical skills, domain knowledge, and creativity to present data in an accessible and meaningful way.

What are popular job titles related to Scientific Visualization jobs in Texas? For Scientific Visualization jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Scientific Visualization jobs in Texas look for? The top searched job categories for Scientific Visualization jobs in Texas are:
What cities in Texas are hiring for Scientific Visualization jobs? Cities in Texas with the most Scientific Visualization job openings:
Scientific Visualization jobs near you
Infographic showing various Scientific Visualization job openings in Texas as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $57,815 per year, or $27.8 per hour.
Postdoctoral Researcher

Postdoctoral Researcher

Louisiana State University

Center, TX

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago

Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Postdoctoral ResearcherPosition Type:Other AcademicDepartment:LSUAM ORED - CCT - Coupled Ocean Modeling Group (Z. George Xue (00010098))Work Location:2056 Digital Media CenterPay Grade:Other AcademicJob Description:

The Postdoctoral Researcher will contribute to research and development projects that integrate numerical modeling, AI/ML, visualization, interactivity, and simulation. Projects will span compound flood forecasting, informing coastal digital twins, immersive scientific visualization, and creative technology applications in spatial computing. Candidates should bring both technical and creative expertise and be comfortable working across disciplines with faculty, students, and external partners. This position offers the opportunity to contribute to impactful research at the intersection of AI, coast, and digital twins.

Job Responsibilities:

Research & Development: Develop and apply numerical and AI/ML technology to bridge high-resolution geospatial data, flood models, and street-level digital twin environments. Transform flood model outputs into interactive, immersive applications for urban and natural coastal environments. (65%)

Collaboration: Work with faculty, students, and external partners on interdisciplinary initiatives; contribute to joint problem-solving and co-mentorship of graduate students. (20%)

Dissemination: Prepare manuscripts for peer-reviewed publications, technical reports, and presentations at national/international conferences. (10%)

Other duties as assigned. (5%)

Minimum Qualifications:

Ph.D. in Oceanography, Coastal Engineering, Computer Science, Computational Sciences, Computer Graphics, Digital Media, or related field.

Preferred Qualifications:

Ph.D. in Oceanography, Coastal Engineering, Computer Science, Computational Sciences, Computer Graphics, Digital Media, or related field. Expertise in coastal/ocean modeling, flood forecasting, or environmental simulations. Experience with AI/ML integration in scientific modeling or visualization workflows. Familiarity with digital twin frameworks, XR/VR/AR pipelines, or spatial computing. Experience handling large-scale datasets and developing simulation-based visual analytics. Strong background in programming (Python, C/C++, GPU computing) and/or creative coding. UX/UI and HCI design skills for building user-friendly interfaces for complex data exploration.

Additional Job Description:Special Instructions:Please provide a cover letter, resume, and three (3) professional references including name, title, phone number, and e-mail address.
Please attach ALL required documents under the "Resume/CV" section of your application.
A copy of your transcript(s) may be attached to your application (if available). However, original transcripts are required before hiring.
Due to the nature of the position and/or position responsibilities this position shall be subject to pre-employment screenings in accordance with University Policy as required and RS:17 screenings (https://www.legis.la.gov/legis/Law.aspx?p=y&d=1297548).
For questions or concerns about updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu.
For questions or concerns regarding the status of your application or salary ranges, please contact Dr. George Xue at zxue@lsu.edu.Posting Date:November 19, 2025Closing Date (Open Until Filled if No Date Specified):Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.

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