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Computational Engineering Jobs in Atlanta, GA (NOW HIRING)

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

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Computational Engineering information

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$47.2K

$118.2K

$133.8K

How much do computational engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational engineering in Atlanta, GA is $118,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $128,000.00 per year, depending on experience, location, and employer.

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 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 in fields such as aerospace, automotive, or energy. Strong skills in programming, numerical methods, and problem-solving are essential for this role.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, where advanced simulations and modeling are essential. Professionals with skills in programming, numerical methods, and software tools like MATLAB or Python are sought after for their ability to optimize designs and solve complex problems.

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.

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 are the most commonly searched types of Computational Engineering jobs in Atlanta, GA? The most popular types of Computational Engineering jobs in Atlanta, GA are:
What are popular job titles related to Computational Engineering jobs in Atlanta, GA? For Computational Engineering jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Computational Engineering jobs in Atlanta, GA look for? The top searched job categories for Computational Engineering jobs in Atlanta, GA are:
Infographic showing various Computational Engineering job openings in Atlanta, GA as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $118,242 per year, or $56.8 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Overview

Please note that this position is contingent upon the successful award of a contract currently under bid.

Goldbelt Apex, a part of the Healthcare Technology Transformation Group, is a data-focused company dedicated to process and quality in every aspect. As healthcare IT experts, Apex is committed to building systems that enable healthcare organizations to communicate and exchange data seamlessly across different systems and devices. 

Summary:

Goldbelt Apex is seeking a qualified Bioinformatician to provide data management and bioinformatics support services. This role involves managing epidemiological and laboratory data by utilizing various software packages in collaboration with the Centers for Disease Control and Prevention’s National Center for Immunization and Respiratory Diseases, particularly within the Division of Viral Diseases and the Viral Vaccine Preventable Diseases Branch (VVPDB).


Responsibilities

Essential Job Functions:

Support the design, development, and implementation of surveillance tools to collect epidemiologic data for Viral Vaccine-Preventable Disease Programs through the following tasks:

  • Maintain epidemiological and laboratory data by using SAS as well as other data management software packages (e.g., R, REDCap, Microsoft Access, Excel, EpiInfo)
  • Support the design, development, and implementation of surveillance tools to collect epidemiologic data
  • Convert existing datasets from a diverse array of file formats (e.g., Microsoft Excel, Access, SQL, and ASCII files) into SAS datasets
  • Design, program, test, modify, enhance, maintain, and support new surveillance applications to collect epidemiological data
  • Develop scripts and software for data manipulation, cleaning, analysis, and visualization (using programming languages such as Python, R, BASH, and SQL)
  • Develop bioinformatics pipelines using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux-based high-performance computing environments
  • Transform data sources into appropriate file formats for bioinformatics/epidemiological studies
  • Conduct data mining and data curation from public sequence databases to support bioinformatics and molecular epidemiological analyses
  • Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data
  • Submit monthly progress report, detailing achievements and progress on sub-tasks a-i. Please also indicate any project obstacles that need to be overcome

Qualifications

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Qualifications:

Necessary Skills and Knowledge:

  • Ensure that you are well-acquainted with every responsibility outlined in the essential job functions section above. It's important to have a thorough understanding of these tasks, as they form the backbone of your role.

Minimum Qualifications:

  • Master’s degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field
  • Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
  • Core experience with analysis of biological datasets encountered in studies of infectious disease (sequencing, protein, phenotype, or other relevant data types)
  • Experience with selection/evaluation of computational approaches to perform analyses of biomedical data.
  • Experience with interpretation, reporting, and documentation of computational analyses over biological datasets
  • US Citizen (birth or naturalization)

Preferred Qualifications:

  • Experience with SAS, R, Python, SQL
  • Surveillance pipeline development
  • Dashboarding tools (Power BI, Tableau, R Shiny)
  • Public health or CDC program support experience

**NOTE: Must be able to potentially obtain security clearances as needed (i.e., Confidential, Secret, or Top Secret)

Pay and Benefits
At Goldbelt, we value and reward our team's dedication and hard work. We provide a competitive base salary commensurate with your qualifications and experience. As an employee, you'll enjoy a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) plan with company matching, tax-deferred savings options, supplementary benefits, paid time off, and professional development opportunities.

Education:UNAVAILABLEEmployment Type: FULL_TIME