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Phd Computer Science Jobs in Denton, TX (NOW HIRING)

Orion180

Sr Predictive Modeling Scientist

Irving, TX · On-site

PhD in a related quantitative field (Statistics, Data Science, Mathematics, Computer Science, Actuarial Science) Experience: * Demonstrated predictive modeling experience, including 4+ years of ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Vangard, Inc.

Data Scientist, Specialist

Dallas, TX · On-site

MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. * 3+ years delivering AI/ML solutions in production environments. * 5+ years of handson Python ...

Targeted Talent

Compiler Tech Lead

Dallas, TX

$170K - $190K/yr

MS or PhD in Computer Science, Engineering or related field * 10+ years of experience developing optimizing compilers for a variety of architectures * Understanding of advanced optimization ...

Vanguard Group

Data Scientist, Specialist

Dallas, TX · On-site

MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. * 3+ years delivering AI/ML solutions in production environments. * 5+ years of hands-on Python ...

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Phd Computer Science information

See Denton, TX salary details

$53K

$77.9K

$91.9K

How much do phd computer science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for phd computer science in Denton, TX is $77,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,700.00 and $87,700.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Denton, TX? For Phd Computer Science jobs in Denton, TX, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Denton, TX look for? The top searched job categories for Phd Computer Science jobs in Denton, TX are:
What cities near Denton, TX are hiring for Phd Computer Science jobs? Cities near Denton, TX with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Denton, TX as of August 2026, with employment types broken down into 9% Internship, 67% Full Time, 10% Part Time, and 14% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $77,923 per year, or $37.5 per hour.

POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 931349,

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

109th of 887 rated healthcare providers

Job description

Description
The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
Qualifications
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.Xiao@UTSouthwestern.edu.
Equal Employment Opportunity Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visit https://www.utsouthwestern.edu/employees/hr-resources/

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