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

Clinical and Translational Science Shift: First Shift (United States of America) Standard Weekly ... Computer proficiency in word processing and Excel * Knowledge of medical terminology * Knowledge of ...

AI Research Scientist- Senior Associate

Dallas, TX · On-site

$97K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

AI Research Scientist- Associate Director

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

KPMG is currently seeking an AI Research Scientist to join our Audit Technology Alliance ... Bachelor's degree from an accredited college/university in Computer Science, AI, Statistics, or a ...

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Computer Science Research information

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How much do computer science research jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for computer science research in Frisco, TX is $20.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.26 per hour, depending on experience, location, and employer.

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.

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 most commonly searched types of Computer Science Research jobs in Frisco, TX?

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

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

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

What job categories do people searching Computer Science Research jobs in Frisco, TX look for?

The top searched job categories for Computer Science Research jobs in Frisco, TX are:

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

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

Infographic showing various Computer Science Research job openings in Frisco, TX as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 64% Full Time, 21% Part Time, 12% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $43,260 per year, or $20.8 per hour.

POSTDOCTORAL RESEARCHER-HDSB-Xiao Lab-[Req#: 914775, Position#: 123269]

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 25 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 887 rated healthcare providers


Job description

Description
A postdoctoral fellow position in AI and Data Science is now available in the laboratories of Dr. Guanghua Xiao at the Quantitative Biomedical Research Center in the Peter O'Donnell School of Public Health at UT Southwestern Medical Center at UT Southwestern Medical Center at Dallas.
The Quantitative Biomedical Research Center (QBRC) is a well-established interdisciplinary research center at UT Southwestern that brings together experts in artificial intelligence, machine learning, predictive modeling, clinical informatics, digital pathology, and biomedical data science. Our goal is to develop cutting-edge computational methods and tools that enable novel discoveries and support data-driven decision-making in health care and public health.
We are seeking highly motivated, creative, and collaborative postdoctoral candidates to join our dynamic team and contribute to a portfolio of research projects applying AI and data science to real-world health care and public health data. The main research areas include:
• Electronic Health Records (EHR)
• Medical imaging (e.g., radiology and pathology)
• Real-time monitoring and wearable sensor data
The successful candidate will have the opportunity to lead and contribute to innovative projects in clinical prediction modeling, disease progression modeling, population health surveillance, and digital biomarker discovery. Our center also supports strong collaborations with clinicians, data scientists, and public health researchers.
Qualifications:
• Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.
• Strong programming skills and experience with machine learning, deep learning, or AI applications.
• Interest or experience in working with large-scale health-related datasets.
Qualifications
Qualifications:
• Ph.D. in Computer Science, Statistics, Biomedical Informatics, Engineering, or a related field.
• Strong programming skills and experience with machine learning, deep learning, or AI applications.
• Interest or experience in working with large-scale health-related datasets.
Application Instructions
Application materials must be submitted through Interfolio.
Interested individuals must upload a CV, cover letter, and a list of three references.

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