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Computer Science Research Jobs in Dallas, TX (NOW HIRING)

AI Research Scientist- Senior Associate

Dallas, TX · On-site

$97K - $124K/yr

... in Computer Science, Data Science, Statistics, or a related quantitative discipline; Ph.D. is a ... Practical expertise in key research areas such as knowledge retrieval (RAG), AI agent architecture ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...

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Computer Science Research information

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How much do computer science research jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for computer science research in Dallas, TX is $21.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $23.56 per hour, depending on experience, location, and employer.

What is a computer science research?

A Computer Science Research job involves investigating fundamental and applied problems in computing to develop new algorithms, technologies, or theories. Researchers work in academia, industry, or government labs, focusing on areas such as artificial intelligence, cybersecurity, and data science. They conduct experiments, publish findings, and collaborate with other experts to advance the field.

What are the typical daily responsibilities of someone working in computer science research?

Professionals in Computer Science Research spend their days designing and conducting experiments, analyzing data, reviewing current literature, and developing new algorithms or models. They often collaborate with cross-functional teams, including other researchers, engineers, and sometimes product managers, to advance the understanding or application of emerging technologies. A significant portion of their work also involves writing and presenting research papers, prototyping solutions, and occasionally mentoring students or junior team members. The role is dynamic and involves both independent investigation and teamwork to solve complex technical problems.

What are the key skills and qualifications needed to thrive in computer science research, and why are they important?

Success in Computer Science Research requires a solid background in computer science theory, algorithms, mathematics, and typically a graduate degree such as a Master's or Ph.D. in a relevant field. Familiarity with programming languages (such as Python, Java, or C++), research tools (e.g., MATLAB, TensorFlow), and publishing research in peer-reviewed venues is highly valuable. Strong analytical thinking, problem-solving, written communication, and collaboration skills allow researchers to effectively explore novel ideas and present their findings. These competencies are critical for advancing technology, contributing original research, and working effectively in academic or industry research environments.

How to become a computer science researcher?

To become a computer science researcher, typically a candidate needs a strong foundation in computer science through a bachelor's degree, followed by advanced education such as a master's or Ph.D. in a specialized area. Developing skills in programming, data analysis, and research methodologies, along with publishing research papers and gaining experience through internships or research projects, is essential.

What are the top 3 jobs with a computer science research degree?

Computer science research degrees often lead to roles such as research scientist, data scientist, and software engineer. These positions typically require strong analytical skills, programming knowledge, and familiarity with machine learning, algorithms, or data analysis tools. They are common in academia, tech companies, and research institutions.

What does a computer science researcher do?

A computer science researcher investigates and develops new algorithms, theories, and technologies related to computing. They often work in academic or industry labs, analyzing data, designing experiments, and publishing findings to advance the field. Strong programming skills and knowledge of research methodologies are essential for this role.

What kind of research can you do in computer science research?

Computer science research involves exploring areas such as algorithms, artificial intelligence, machine learning, cybersecurity, data science, software engineering, and human-computer interaction. Researchers often work on developing new technologies, improving existing systems, and solving complex computational problems using programming languages, data analysis tools, and experimental methods.

What are the most commonly searched types of Computer Science Research jobs in Dallas, TX?

The most popular types of Computer Science Research jobs in Dallas, TX are:

What are popular job titles related to Computer Science Research jobs in Dallas, TX?

For Computer Science Research jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Computer Science Research jobs?

Cities near Dallas, TX with the most Computer Science Research job openings:

Infographic showing various Computer Science Research job openings in Dallas, TX as of August 2026, with employment types broken down into 64% Full Time, 7% Part Time, and 29% Contract. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $45,724 per year, or $22 per hour.

Staff Scientist, O'Donnell Data Science and Research Computing Institute

SOUTHERN METHODIST UNIVERSITY

Dallas, TX

Full-time

Medical, Dental, Vision

Re-posted 22 days ago


Southern Methodist University rating

7.4

Company rating: 7.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

338th of 628 rated colleges and universities


Job description

Salary Range: 

Salary commensurate with experience and qualifications

About SMU

SMU's more than 12,000 diverse, high-achieving students come from all 50 states and over 80 countries to take advantage of the University's small classes, meaningful research opportunities, leadership development, community service, international study and innovative programs.

SMU serves approximately 7,000 undergraduates and 5,000 graduate students through eight degree-granting schools: Dedman College of Humanities and Sciences, Cox School of Business, Lyle School of Engineering, Meadows School of the Arts, Simmons School of Education and Human Development, Dedman School of Law, Perkins School of Theology and Moody School of Graduate and Advanced Studies.

SMU is data driven, and its powerful supercomputing ecosystem - paired with entrepreneurial drive - creates an unrivaled environment for the University to deliver research excellence.

Now in its second century of achievement, SMU is recognized for the ways it supports students, faculty and alumni as they become ethical, enterprising leaders in their professions and communities. SMU's relationship with Dallas - the dynamic center of one of the nation's fastest-growing regions - offers unique learning, research, social and career opportunities that provide a launch pad for global impact.

SMU is nonsectarian in its teaching and committed to academic freedom and open inquiry.

About the Department:

  SMU's O'Donnell Data Science and Research Computing Institute was launched in Fall 2020. The Institute aims to develop research connections between SMU's faculty affiliates and corporations, federal/state/local governmental agencies, and nonprofit   organizations.

  The Institute strives to provide these partners with access to graduate and undergraduate students in our data science programs   for project participation, internships, and potential full-time employment. We also serve as a gateway to SMU's high performance   computing environment and data science training tutorials and workshops.

About the Position:

This role is an on-campus, in-person position.

The Staff Scientist in the O'Donnell Data Science and Research Computing Institute (ODSRCI) will support SMU's research activities in data science, artificial intelligence/machine learning (AI/ML), and high-performance computing (HPC). The ODSRCI was established to enhance and connect data-intensive research across the SMU campus through advanced computational infrastructure and interdisciplinary collaboration. Working with the Director, faculty, and research teams, the Staff Scientist will contribute technical and research expertise to projects involving data analytics, scientific computing, AI/ML, and related computational methods. 

Essential Functions:

  • The responsibilities of this role include contributing to research activities in data science, AI/ML, high-performance computing, and related emerging technologies through participation in assigned projects and collaborative initiatives. The Staff Scientist will help identify external funding opportunities and contribute to proposal development and submission.

  • This role requires collaboration with industry and academia to advance the O'Donnell Institute's research and development efforts. The Staff Scientist will promote the mission and capabilities of SMU and the O'Donnell Institute in the areas of data science, AI/ML, and HPC. He/she will communicate SMU's strengths and accomplishments to help support the Institute's continued growth.

  • The O'Donnell Institute provides support to graduate students through graduate fellowships and short-term internships. The Staff Scientist will help design student research projects for maximum impact and learning opportunities. He/she will also provide mentorship to graduate students to help establish a culture of innovation, interdisciplinary research, and scholarship.

  • The O'Donnell Institute holds multiple events throughout the year to communicate its mission and progress to the public and various stakeholders. The Institute also provides training and workshops to SMU researchers and collaborators in the areas of data science, AI/ML, and high-performance computing. The Staff Scientist will help design, organize, and execute these events.

  • Occasional travel to meet sponsors and attend workshops and conferences is required. 

Education and Experience:

Doctoral degree is required. A degree in Computer Science, AI/ML, or related field is preferred. 

A minimum of two years of research experience and established track record in the fields of data science and AI/ML is required. 

Experience working across disciplinary boundaries to develop research conditions is preferred. Experience in mentoring student is preferred. 

Knowledge, Skills and Abilities:

Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills.

Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills.  

Candidate must have a good understanding of the interface of academia and industry. 

Candidate must have awareness of current and upcoming changes in the funding and research landscape. 

Knowledge of HPC software stacks and parallel computing is required. Experience with GPU and accelerated computing is preferred. 

Physical and Environmental Demands:

  • Sit for long periods of time

Deadline to Apply:

Priority consideration may be given to submissions received by July 1, 2026

The position is open until filled.

EEO Statement

SMU is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

Benefits:

SMU offers staff a broad, competitive array of health and related benefits. In addition to traditional benefits such as health, dental, and vision plans, SMU offers a wide range of wellness programs to help attract, support, and retain our employees whose work continues to make SMU an outstanding education and research institution.

SMU is committed to providing an array of retirement programs that benefit and protect you and your family throughout your working years at SMU and, if you meet SMU's retirement eligibility criteria, during your retirement years after you leave SMU.

The value of learning at SMU isn't just about preparing our students for the future. Employees have access to a wide variety of professional and personal development opportunities, including tuition benefits.


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