Science & Research STEM OPT Jobs in Texas
Science and research F-1 STEM OPT sponsorship jobs in Texas are concentrated around Houston's life sciences and energy research corridor, the Dallas-Fort Worth biotech cluster, and Austin's growing research institutions. Major employers include ExxonMobil, MD Anderson Cancer Center, and Texas Instruments. STEM OPT's 24-month extension gives science and research graduates meaningful runway to contribute to long-cycle research projects.
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Research Assistant
Agency
Texas A&M University
Department
Educational Adm & Human Resources Development
Proposed Minimum Salary
Commensurate
Job Location
College Station, Texas
Job Type
Staff
Job Description
Who we are
The Department of Education al Administration and Human Resource Development (EAHR) develops educational leaders and improves practice through teaching, research, and service in the areas of public school administration, human resource development, higher education administration, adult education, and student affairs administration. To learn more, please visit https://eahr.tamu.edu/.
What we want
The Research Assistant provides administrative, technical, and computational support for AI-driven and data-intensive research projects. Assists with project phases, including data processing, software development, model implementation, and analysis. Supports proposal preparation, maintains research systems and computing environments, and collaborates with faculty, students, and technical staff on AI, data science, and computer engineering initiatives.
What you need to know
Salary: Commensurate
Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.
Please Note: This position is grant funded; future employment may be contingent upon future funding.
Qualifications
Required Education
Bachelor’s degree in a Computer Science or relevant field or an equivalent combination of education and experience.
Preferred Qualifications
- Master’s degree in computer science or a related field, with experience in AI/ML and software development
- Proficiency in programming (e.g., Python, Java, C++) and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data structures, algorithms, cloud platforms, APIs, and deployment tools
- Familiarity with advanced AI areas (deep learning, NLP, computer vision) and MLOps practices (CI/CD, containerization, distributed systems)
Knowledge, Skills, and Abilities
- Strong understanding of AI/ML concepts, model development, deployment, and responsible AI practices
- Excellent analytical, problem-solving, and attention to detail with a commitment to quality
- Ability to manage multiple priorities and work independently and collaboratively in team environments
- Strong communication skills with the ability to explain technical concepts to non-technical audiences and support continuous innovation
Responsibilities
Research
- Assists in the design, development, and coordination of AI-driven research initiatives and computational experiments supporting multiple projects in data science and computer science.
- Applies established methodologies in machine learning, data engineering, and computational analysis, maintaining detailed documentation of datasets, model configurations, and experimental results.
- Supports the development, deployment, and maintenance of AI platforms, software tools, and data pipelines; may assist in troubleshooting, debugging, and optimizing system performance.
- Utilizes programming languages, statistical software, and advanced computing environments to conduct data analysis, model training, evaluation, and technical assessment of research outcomes.
- Analyzes, interprets, and summarizes findings from computational experiments and AI model outputs for reports, presentations, and research dissemination.
Research Publications
- Assists in the preparation and development of research proposals to funding agencies, including projects focused on artificial intelligence, data science, and computational methodologies; supports budget tracking and management of financial accounts associated with research initiatives.
- Contributes to the development of technical reports, documentation, and project deliverables, including the organization and maintenance of datasets, model artifacts, version-controlled code repositories, and research records.
Mentorship
- Provides guidance and support to undergraduate and graduate students, as well as technical staff, engaged in AI, data science, and computational research projects, including assistance with coding practices, data management, model development, and research methodologies.
Why Texas A& M University?
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
- Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
- 12-15 days of annual paid holidays
- Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
- Automatic enrollment in the Teacher Retirement System of Texas
- Health and Wellness: Free exercise programs and release time
- Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
- Educational release time and tuition assistance for completing a degree while a Texas A&M employee
- Living Well, a program at Texas A&M that has been built by employees, for employees
Our Commitment
Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.
Job Title
Research Assistant
Agency
Texas A&M University
Department
Educational Adm & Human Resources Development
Proposed Minimum Salary
Commensurate
Job Location
College Station, Texas
Job Type
Staff
Job Description
Who we are
The Department of Education al Administration and Human Resource Development (EAHR) develops educational leaders and improves practice through teaching, research, and service in the areas of public school administration, human resource development, higher education administration, adult education, and student affairs administration. To learn more, please visit https://eahr.tamu.edu/.
What we want
The Research Assistant provides administrative, technical, and computational support for AI-driven and data-intensive research projects. Assists with project phases, including data processing, software development, model implementation, and analysis. Supports proposal preparation, maintains research systems and computing environments, and collaborates with faculty, students, and technical staff on AI, data science, and computer engineering initiatives.
What you need to know
Salary: Commensurate
Special Instructions: A cover letter, resume, and contact information for three professional references (to include at least one previous supervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.
Please Note: This position is grant funded; future employment may be contingent upon future funding.
Qualifications
Required Education
Bachelor’s degree in a Computer Science or relevant field or an equivalent combination of education and experience.
Preferred Qualifications
- Master’s degree in computer science or a related field, with experience in AI/ML and software development
- Proficiency in programming (e.g., Python, Java, C++) and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn)
- Experience with data structures, algorithms, cloud platforms, APIs, and deployment tools
- Familiarity with advanced AI areas (deep learning, NLP, computer vision) and MLOps practices (CI/CD, containerization, distributed systems)
Knowledge, Skills, and Abilities
- Strong understanding of AI/ML concepts, model development, deployment, and responsible AI practices
- Excellent analytical, problem-solving, and attention to detail with a commitment to quality
- Ability to manage multiple priorities and work independently and collaboratively in team environments
- Strong communication skills with the ability to explain technical concepts to non-technical audiences and support continuous innovation
Responsibilities
Research
- Assists in the design, development, and coordination of AI-driven research initiatives and computational experiments supporting multiple projects in data science and computer science.
- Applies established methodologies in machine learning, data engineering, and computational analysis, maintaining detailed documentation of datasets, model configurations, and experimental results.
- Supports the development, deployment, and maintenance of AI platforms, software tools, and data pipelines; may assist in troubleshooting, debugging, and optimizing system performance.
- Utilizes programming languages, statistical software, and advanced computing environments to conduct data analysis, model training, evaluation, and technical assessment of research outcomes.
- Analyzes, interprets, and summarizes findings from computational experiments and AI model outputs for reports, presentations, and research dissemination.
Research Publications
- Assists in the preparation and development of research proposals to funding agencies, including projects focused on artificial intelligence, data science, and computational methodologies; supports budget tracking and management of financial accounts associated with research initiatives.
- Contributes to the development of technical reports, documentation, and project deliverables, including the organization and maintenance of datasets, model artifacts, version-controlled code repositories, and research records.
Mentorship
- Provides guidance and support to undergraduate and graduate students, as well as technical staff, engaged in AI, data science, and computational research projects, including assistance with coding practices, data management, model development, and research methodologies.
Why Texas A& M University?
We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration. Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you. Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.
- Medical, prescription drug, dental, vision, life and AD&D, flexible spending accounts, and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums
- 12-15 days of annual paid holidays
- Up to eight hours of paid sick leave and at least eight hours of paid vacation each month
- Automatic enrollment in the Teacher Retirement System of Texas
- Health and Wellness: Free exercise programs and release time
- Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more
- Educational release time and tuition assistance for completing a degree while a Texas A&M employee
- Living Well, a program at Texas A&M that has been built by employees, for employees
Our Commitment
Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check. Equal Opportunity/Veterans/Disability Employer.
STEM OPT Science & Research Job Roles in Texas
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Search Science & Research Jobs in TexasScience & Research STEM OPT Sponsorship Jobs in Texas: Frequently Asked Questions
Which science and research companies sponsor F-1 STEM OPT visas in Texas?
Texas has a wide range of science and research employers with documented STEM OPT sponsorship activity. In the life sciences space, MD Anderson Cancer Center, UT Southwestern Medical Center, and Baylor College of Medicine have active research hiring. Energy-sector research employers such as ExxonMobil, Chevron, and Schlumberger (now SLB) regularly hire STEM OPT candidates. Texas Instruments and Samsung Semiconductor support materials and applied physics research roles in the Dallas-Austin corridor.
Which cities in Texas have the most science and research F-1 STEM OPT sponsorship jobs?
Houston leads for life sciences and energy research, anchored by the Texas Medical Center and major oil and gas R&D facilities. Austin has expanded rapidly in semiconductor research and computational biology, driven by university spinouts and technology firms. Dallas-Fort Worth has a strong biotech and clinical research presence. San Antonio supports defense and biomedical research through institutions affiliated with the University of Texas Health Science Center and military research programs.
What types of science and research roles typically qualify for F-1 STEM OPT sponsorship?
Roles must be in a STEM-designated degree field and directly related to the student's program of study. In Texas, qualifying positions commonly include research scientist, computational biologist, materials scientist, chemist, geoscientist, biomedical engineer, data scientist in a research context, and laboratory analyst. The position must be paid, at least 20 hours per week, and supervised by the employer. Volunteer or unpaid research positions do not qualify under STEM OPT regulations.
How do I find science and research F-1 STEM OPT sponsorship jobs in Texas?
Migrate Mate filters science and research jobs in Texas specifically by F-1 STEM OPT sponsorship eligibility, so you can focus on employers who have a documented history of supporting STEM OPT candidates rather than sorting through unverified listings. You can filter by city, research discipline, and employer type. Because STEM OPT requires the employer to complete a formal training plan and enroll in E-Verify, using a platform that surfaces verified sponsoring employers saves significant time in your search.
Are there any Texas-specific considerations for F-1 STEM OPT in science and research roles?
Texas does not impose state-level visa sponsorship requirements beyond federal STEM OPT rules, but a few practical factors matter. Energy and defense research employers in Texas may require security clearances for certain roles, which are generally unavailable to F-1 students. Additionally, some state-funded research institutions must verify employment eligibility through E-Verify, which aligns with the STEM OPT requirement but means onboarding processes can be more documentation-intensive. Confirming E-Verify enrollment with a prospective employer early is advisable.