Research Manager Jobs in College Station, TX

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.