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Computational Engineering Jobs in Dallas, TX (NOW HIRING)

Experience deploying models via APIs, batch pipelines, or streaming architecture Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow Statistical ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Bachelor's degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field. * 3-5 years of proven experience working with 3D graphics, computational ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Showing results 41-60

Computational Engineering information

See Dallas, TX salary details

$48K

$120.2K

$136K

How much do computational engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computational engineering in Dallas, TX is $120,187.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,300.00 and $130,100.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, as it involves using advanced modeling, simulation, and programming skills to solve complex engineering problems. The field offers strong job growth prospects, especially for those proficient in programming languages, numerical methods, and software tools like MATLAB or Python.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs across various engineering disciplines.

What are the most commonly searched types of Computational Engineering jobs in Dallas, TX?

The most popular types of Computational Engineering jobs in Dallas, TX are:

What job categories do people searching Computational Engineering jobs in Dallas, TX look for?

The top searched job categories for Computational Engineering jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Computational Engineering jobs?

Cities near Dallas, TX with the most Computational Engineering job openings:

Infographic showing various Computational Engineering job openings in Dallas, TX as of August 2026, with employment types broken down into 6% Internship, 69% Full Time, 8% Part Time, 10% Temporary, and 7% Contract. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $120,187 per year, or $57.8 per hour.

$44K - $59K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


University Of Texas At Arlington rating

7.7

Company rating: 7.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

263rd of 622 rated colleges and universities


Job description

Position Information
Posting Number F00737P Position Title Post Doctoral Research Associates Department Bioengineering Location Arlington Job Family Faculty Position Status Full-time Rank Non-Tenured Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job Summary
The Department of Bioengineering in the College of Engineering at the University of Texas at Arlington invites applications for a Post-Doctoral Research Associate. We are seeking a highly motivated postdoctoral candidate with experience in cancer research and strong analytical skills. The Lal Lab develops computational and systems biology approaches to understand treatment response, toxicity, and disease progression in cancer. Our research integrates multi-omic sequencing, network biology, and machine learning to identify actionable biomarkers and therapeutic vulnerabilities.
The successful candidate will work at the interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to collaborate closely with clinicians and translational researchers at Cook Children's Medical Center, applying computational approaches to real-world clinical questions in pediatric precision oncology and treatment-related toxicities.
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
Essential Duties and Responsibilities
  • Analyze large-scale next-generation sequencing (NGS) datasets, including whole genome/exome sequencing, RNA-seq, and DNA methylation data.
  • Develop and implement state-of-the-art computational and statistical methods for integrative analysis of multi-omics datasets.
  • Utilize high-performance computing environments to process large-scale datasets and analyze large-scale genomics dataset.
  • Collaborate closely with clinicians and experimental scientists to translate in silico results to biologically meaningful insights.
  • Clearly present research findings to interdisciplinary collaborators.
  • Prepare manuscripts for publications and contribute to grant proposals.
Required Qualifications
  • Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field
  • Proficiency in R or Python
  • Minimum of two years of experience in computational biology or cancer genomics
  • Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP)
  • At least one first-author peer-reviewed publication
  • Strong communication and scientific writing skills

Preferred Qualifications
  • Network analysis
  • Machine learning or AI methods using biological data
  • Cancer genomics
  • Large-scale genomic data analysis
Special Conditions for Eligibility Department Information
UTA's College of Engineering provides highly trained engineers for the workforce in North Texas and beyond. We have graduated two astronauts, many successful entrepreneurs and dozens of executives at Fortune 500 companies. Our faculty have distinguished themselves on a global stage. We are fulfilling our mission to educate talented engineers who will immediately make an impact on their communities. The College is the most comprehensive engineering program in North Texas, with 12 baccalaureate, 13 Master's and nine doctoral programs. The University is classified as a Research 1 University - Highest Research Activity by the Carnegie Foundation for the Advancement of Teaching, and the College of Engineering is the largest contributor to the University's research enterprise with overall engineering-related research expenditures at UTA totaling more than $64 million. Students from around the world work with award-winning faculty in state-of-the-art facilities, acquiring the knowledge and skills they'll need to create viable solutions to the most pressing problems of today and the future.
The Department of Bioengineering is on the cutting edge of technology and research, with multiple current grants funded by the NIH, NSF, and others for work related to traumatic brain injuries, cancer, imaging, and biomedical technology. Our faculty and graduate students enjoy an association with nearby UT Southwestern Medical Center, one of the top medical schools in the nation.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.
This is an exciting time to join UTA and contribute to its bold vision for the future.
Working Title EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Posting Detail Information
Number of Vacancies 1 Desired Start Date 06/01/2026 Open Date 03/25/2026 Review Start Date Open Until Filled Yes Special Instructions to Applicants
To apply, applicants should go to https://uta.peopleadmin.com/postings/33541 and submit the following materials:
Required Documents
  • Curriculum Vitae that lists all peer-reviewed publications/conferences and previous awards/grants received
  • Cover Letter
  • Research Statement that outlines your research achievements and future research interests
  • A journal article or book chapter that demonstrates your domain expertise
  • Contact information for 2 references

Review of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.
Questions may be addressed to Dr. Jessica Lal at jessica.lal@uta.edu.
For more information about UTA, please visit: http://www.uta.edu/uta.

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