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Computational Research Assistant Jobs (NOW HIRING)

Texas A&M University

Research Assistant

College Station, TX · On-site

$16 - $22/hr

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 ...

Tamus

Research Assistant

College Station, TX · On-site

$16 - $22/hr

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 ...

PH-Physics

Research Assistant

Bodega Bay, CA

$23.97 - $34.86/hr

Responsibilities include supporting computational research activities, maintaining documentation ... You will: * Assist in programming and development of quantum circuits for high energy physics ...

Brownhealth

Research Assistant

Providence, RI · On-site

$41K - $68K/yr

SUMMARY: The Research Assistant supports laboratory-based brain tumor research within the ... Apply statistical, computational and bioinformatic methods to analyze experimental and clinical ...

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Computational Research Assistant information

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$33.5K

$48.3K

$63.5K

How much do computational research assistant jobs pay per year?

As of Jul 7, 2026, the average yearly pay for computational research assistant in the United States is $48,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,000.00 and $55,500.00 per year, depending on experience, location, and employer.

How does a Computational Research Assistant typically collaborate with principal investigators and other team members during a research project?

Computational Research Assistants often work closely with principal investigators (PIs), postdoctoral researchers, and other team members to design, implement, and analyze computational experiments. They are responsible for developing scripts, managing datasets, and ensuring the reproducibility of results. Regular meetings and progress updates are common, and assistants are expected to communicate findings clearly and troubleshoot technical issues collaboratively. This role requires both independent initiative and a strong team-oriented approach to meet research objectives efficiently.

What are the key skills and qualifications needed to thrive as a Computational Research Assistant, and why are they important?

To thrive as a Computational Research Assistant, you need strong analytical skills, proficiency in programming languages like Python or R, and a background in mathematics, statistics, or computer science. Familiarity with data analysis tools, version control systems (such as Git), and experience using high-performance computing environments or relevant software is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate with research teams and interpret complex results. These skills and qualities are crucial for producing accurate, reliable research outcomes and supporting innovative scientific investigations.

What are Computational Research Assistants?

Computational Research Assistants are professionals who support scientific and academic research projects by applying computational methods, programming, and data analysis techniques. They often work with researchers to develop models, run simulations, analyze large datasets, and assist in the interpretation of results. Their work is essential in fields such as biology, physics, social sciences, and engineering, where complex data and computational tools are required to conduct research. Typically, they have strong skills in programming languages like Python, R, or MATLAB, and possess a background in the relevant scientific discipline.

What is the difference between Computational Research Assistant vs Data Analyst?

AspectComputational Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageAcademic and research institutions, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The Computational Research Assistant and Data Analyst roles share similarities in data handling and analytical skills, but differ mainly in their focus. Computational Research Assistants typically work in research settings, supporting scientific projects with programming and modeling, while Data Analysts focus on interpreting data to inform business decisions. Both roles require strong technical skills and relevant education, but their work environments and primary objectives differ.

More about Computational Research Assistant jobs
What cities are hiring for Computational Research Assistant jobs? Cities with the most Computational Research Assistant job openings:
What are the most commonly searched types of Computational Research jobs? The most popular types of Computational Research jobs are:
What states have the most Computational Research Assistant jobs? States with the most job openings for Computational Research Assistant jobs include:
What job categories do people searching Computational Research Assistant jobs look for? The top searched job categories for Computational Research Assistant jobs are:
Computational Research Assistant jobs near you
Infographic showing various Computational Research Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $48,298 per year, or $23.2 per hour.
Research Assistant

Research Assistant

Texas A&M University

College Station, TX • On-site

$16 - $22/hr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Texas A&M University rating

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

197th of 544 rated colleges and universities

Job description

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 ofEducational Administration and Human Resource Development (EAHR) developseducational leaders and improves practice through teaching, research, and service in the areas ofpublicschooladministration, human resource development, highereducationadministration, adulteducation, and student affairs administration.To learn more, please visithttps://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 oneprevioussupervisor) are strongly recommended. You may upload all three on the application under CV/Resume or upon answering the questionnaire you may attach the documents.

PleaseNote: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-artrecreation facilities, the Bush Library and Museum, and much more await you.Experience all that a big city has to offer but witha reasonablecost-of-living and no long commutes.

  • Medical,prescription drug,dental,vision,life and AD&D,flexible spending accounts,and long-term disability insurancewith Texas A&M contributing to employee health and basic life premiums

  • 12-15 daysof annual paid holidays

  • Up toeight hours of paid sick leaveand at leasteight hours of paid vacationeachmonth

  • Automaticenrollment in theTeacher Retirement System of Texas

  • Health and Wellness:Free exercise programs and release time

  • Professional Development: All employees have access to freeLinkedIn Learningtraining, webinars, and limitedfinancial support to attend conferences, workshops, and more

  • Educational release time and tuition assistanceforcompleting 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&livedexperiences. Embracing varying opinions and perspectives strengthens ourcorevalueswhich 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.

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