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Scientific Computing Jobs in Texas (NOW HIRING)

Highly experienced in scientific computing on various types of HPC architecture * Experience with full lifecycle of development, including product release * Innovative mindset * Highly motivated and ...

Highly experienced in scientific computing on various types of HPC architecture * Experience with full lifecycle of development, including product release * Innovative mindset * Highly motivated and ...

Highly experienced in scientific computing on various types of HPC architecture * Experience with full lifecycle of development, including product release * Innovative mindset * Highly motivated and ...

Make meaningful contributions that advance scientific computing and machine learning capabilities * Work across multiple levels of the communications stack to solve complex distributed computing ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis. * Hands-on experience with deep learning, including familiarity with a range ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis. * Hands-on experience with deep learning, including familiarity with a range ...

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis. * Hands-on experience with deep learning, including familiarity with a range ...

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Scientific Computing information

See Texas salary details

$12

$29

$48

How much do scientific computing jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for scientific computing in Texas is $29.33, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $37.40 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone working in Scientific Computing?

Professionals in Scientific Computing typically spend their days developing and optimizing computational models, writing code to analyze large datasets, and running simulations on high-performance computing systems. They often collaborate closely with scientists, researchers, or engineers to interpret results and improve methodologies. Depending on the industry, they may also be responsible for documenting workflows, troubleshooting complex issues, and staying current with technological advances in their field. Daily work often involves problem-solving, technical meetings, and the continuous improvement of algorithms and computational processes.

What are the key skills and qualifications needed to thrive in the Scientific Computing position, and why are they important?

To thrive in Scientific Computing, you need a strong background in mathematics, computer science, and scientific principles, often supported by a relevant degree such as physics, engineering, or computational science. Proficiency with programming languages like Python, C++, or MATLAB, experience with high-performance computing (HPC) systems, and familiarity with scientific software and libraries are typically essential. Excellent problem-solving abilities, teamwork, and clear communication skills are important soft skills for this role. These skills enable professionals to develop efficient computational solutions, collaborate effectively across multidisciplinary teams, and drive progress in research and innovation.

What is a Scientific Computing job?

A Scientific Computing job involves using advanced computational methods, algorithms, and mathematical modeling to solve complex scientific and engineering problems. Professionals in this field develop and optimize software, perform simulations, and analyze large datasets to support research in disciplines like physics, biology, and engineering. They often work with high-performance computing (HPC) systems and programming languages such as Python, C++, or Fortran. These roles are commonly found in academia, government research labs, and industries like aerospace, pharmaceuticals, and finance.

What are the most commonly searched types of Scientific Computing jobs in Texas? The most popular types of Scientific Computing jobs in Texas are:
What cities in Texas are hiring for Scientific Computing jobs? Cities in Texas with the most Scientific Computing job openings:
Infographic showing various Scientific Computing job openings in Texas as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $60,998 per year, or $29.3 per hour.
Scientist III, Bioinformatics

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 398 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

At Thermo Fisher Scientific, our mission is to enable our customers to make the world healthier, cleaner, and safer. Within the Clinical Sequencing Division, bioinformatics plays an important role in enabling precision oncology diagnostics and advancing genomic medicine.

Location/Division-Specific Information:

Carlsbad, CA, or Austin, TX. Relocation assistance is NOT provided. 

*Must be legally authorized to work in the United States without sponsorship.

*Must be able to pass a comprehensive background check, which includes a drug screen.

Discover Impactful Work:

As a Scientist III, Bioinformatics, you will contribute to the development and maintenance of bioinformatics applications, data systems, and computational workflows that support next-generation sequencing (NGS) companion diagnostic (CDx) assay development.

In this role, you will collaborate with scientists, engineers, and cross-functional partners to develop tools and workflows that support genomic data analysis, assay development, and regulated diagnostic programs. Your work will help ensure that bioinformatics systems supporting diagnostic development are reliable, reproducible, and well-documented.

You will also contribute to emerging initiatives that explore the use of AI-enabled tools to enhance bioinformatics workflows, data analysis, and internal scientific applications.

This position combines bioinformatics expertise with scientific software development to support scalable genomic analysis and integration with laboratory and data management systems.

A Day in the Life:

Bioinformatics Application Development

Develop and maintain internal bioinformatics applications and computational tools to support genomic data analysis and the development of companion diagnostic assays.

Workflow and Pipeline Development

Implement and improve automated workflows for next-generation sequencing (NGS) data processing and analysis using scripting languages and workflow frameworks.

Data Systems and Integration

Support development and integration of bioinformatics workflows with data systems, databases, and laboratory information management systems (LIMS).

AI-Enabled Workflow Support

Contribute to the evaluation and integration of AI-enabled tools that enhance bioinformatics workflows, scientific data analysis, and internal research applications.

Cross-Functional Collaboration and Documentation

Work with scientists, engineers, and program teams to develop computational solutions supporting diagnostic development and document workflows to ensure reproducibility and maintainability within regulated environments.

Keys to Success

Education

Bachelor’s in Bioinformatics, Computational Biology, Computer Science, Molecular Biology, or a related field required.

Experience

  • 5 years of experience in bioinformatics and NGS data analysis (Advanced degree plus 3 years of experience).
  • Experience programming in Python or a similar language.
  • Experience working in Linux or Unix environments.
  • Experience developing or supporting bioinformatics pipelines or analysis tools.
  • Familiarity with next-generation sequencing (NGS) data analysis.
  • Experience using version control systems such as Git.
  • Experience collaborating with cross-functional scientific teams.

Knowledge, Skills, and Abilities

Programming and Scientific Computing

  • Proficiency in Python or similar programming languages.
  • Experience developing scripts, tools, or applications for scientific data analysis.
  • Familiarity with software development practices such as version control and documentation.

Bioinformatics and Genomics

  • Understanding of common bioinformatics workflows and sequencing data formats.
  • Experience working with genomic datasets.

Data Systems

  • Familiarity with databases or structured data systems (e.g., SQL).
  • Experience working with large or complex scientific datasets.

Workflow and Infrastructure

  • Familiarity with workflow frameworks such as Nextflow, Snakemake, or similar tools.
  • Experience with container technologies such as Docker is helpful.
  • Exposure to cloud computing platforms such as AWS or GCP is beneficial.

AI and Emerging Technologies

  • Exposure to AI or machine learning tools used in scientific computing or data analysis is a plus.
  • Interest in applying AI-enabled tools to improve scientific workflows.

Collaboration and Communication

  • Ability to communicate technical information clearly.
  • Ability to work effectively in collaborative, multidisciplinary teams.
  • Strong problem-solving and analytical skills.

Benefits:

We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!

Compensation and Benefits

The salary range estimated for this position based in California is $95,900.00–$120,000.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards


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