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Scientific Computing Internship Jobs in Georgia (NOW HIRING)

DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Approximately 2+ years of relevant professional, internship, research, or technical experience in one or more of the following: * DevOps * Software engineering * Bioinformatics * Scientific computing

DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Approximately 2+ years of relevant professional, internship, research, or technical experience in one or more of the following: * DevOps * Software engineering * Bioinformatics * Scientific computing

DevOps Engineer

Atlanta, GA ยท On-site

$50.75 - $69.50/hr

Approximately 2+ years of relevant professional, internship, research, or technical experience in one or more of the following: * DevOps * Software engineering * Bioinformatics * Scientific computing

This 12-week Internship Program (May 18-Aug 7, 2026) is a gateway to full-time career paths for ... Partner in development of scalable solutions using large datasets with other data scientists on the ...

Public Health Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Data Engineer

Atlanta, GA ยท On-site

$53K - $88K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Internship, academic, research, or project experience involving data engineering, cloud computing ...

Associate Software Engineer

Atlanta, GA ยท On-site

$100 - $125/hr

Bachelor's or Master's degree in computer science, Software Engineering, Computer Engineering ... Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform. * Basic ...

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Scientific Computing Internship information

What is a scientific computing internship?

A Scientific Computing Internship is a temporary position where students or recent graduates work on projects involving computational methods to solve scientific problems. Interns typically assist with programming, data analysis, mathematical modeling, and using specialized software to support research in fields like physics, biology, or engineering. The internship provides hands-on experience with real-world scientific challenges, often in academic, government, or industry research settings. These opportunities help interns develop technical skills, gain exposure to the research process, and build professional networks in the scientific computing field.

What types of projects might I work on during a scientific computing internship?

As a Scientific Computing Intern, you may be involved in projects such as developing simulation models, optimizing computational algorithms, or analyzing large datasets for scientific research. Interns often collaborate closely with researchers and software engineers, contributing to code development, data processing, or scientific visualization tasks. These projects provide hands-on experience with programming languages like Python, MATLAB, or C++, and exposure to high-performance computing environments. The collaborative and interdisciplinary nature of the work allows you to build both technical and teamwork skills which are valuable for future roles in academia or industry.

What are the key skills and qualifications needed to thrive as a scientific computing intern, and why are they important?

To thrive as a Scientific Computing Intern, you generally need a solid background in mathematics, programming (often Python, C++, or MATLAB), and data analysis, typically supported by coursework in computer science or a related STEM field. Familiarity with scientific computing tools and libraries such as NumPy, SciPy, and version control systems like Git is common, and experience with high-performance computing environments is a plus. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate with research teams and present complex findings clearly. These qualifications are crucial for efficiently supporting research projects and contributing to innovative scientific solutions.

What is the difference between Scientific Computing Internship vs Data Analyst Internship?

AspectScientific Computing InternshipData Analyst Internship
Required CredentialsTypically requires a background in computer science, mathematics, or engineering; familiarity with programming languages like Python, C++, or MATLABUsually requires a degree in statistics, mathematics, or related fields; skills in SQL, Excel, and data visualization tools
Work EnvironmentResearch labs, academic institutions, or R&D departments within tech or engineering firmsBusiness settings, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed in scientific research, simulations, and modeling projectsApplied in business analytics, reporting, and data-driven decision making

While both internships involve working with data and computational tools, Scientific Computing Internships focus on scientific research, simulations, and technical problem-solving, whereas Data Analyst Internships emphasize analyzing business data to inform decisions. The choice depends on your career interests in research versus business analytics.

What are the most commonly searched types of Scientific Computing jobs in Georgia?

The most popular types of Scientific Computing jobs in Georgia are:

What cities in Georgia are hiring for Scientific Computing Internship jobs?

Cities in Georgia with the most Scientific Computing Internship job openings:

Infographic showing various Scientific Computing Internship job openings in Georgia as of August 2026, with employment types broken down into 6% Internship, 71% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

DevOps Engineer

Atlanta, GA โ€ข On-site

BeVera Solutions LLC
1 - 10 employees

$50.75 - $69.50/hr

Full-time

This job post hasย expired 4 days ago.ย Applications are no longer accepted.


Job description

Description:

About BeVera Solutions, LLC 

BeVera Solutions, LLC is a rapidly growing public health and professional services company that provides innovative solutions to federal and state agencies. Our team supports mission-critical programs through expertise in program management, communications, acquisition, data analytics, and public health initiatives. BeVera’s CEO champions a people-first culture where every employee is valued. The company supports this commitment by offering competitive compensation and meaningful, impactful work assignments.  

Recognized as one of Atlanta’s Best Places to Work (2024 & 2025 & 2026) by the Atlanta Business Chronicle, BeVera fosters a culture of integrity, excellence, and collaboration.


Position Summary  

BeVera Solutions, LLC is seeking a DevOps Engineer to support development operations within a scientific computing (SciComp) and bioinformatics environment. The DevOps Engineer will assist with GitLab administration, CI/CD pipeline development, containerization, workflow automation, scientific software deployment, and support of high-performance computing environments.

This position is well suited for a DevOps professional with experience in software development and automation who also has exposure to bioinformatics, high-performance computing (HPC), scientific computing, or data-intensive research environments.

The DevOps Engineer will work collaboratively with bioinformatics specialists, software developers, system administrators, and infrastructure teams to improve the reliability, security, automation, and reproducibility of scientific applications and computational workflows.


This position is contingent upon contract award, available funding, and applicable Government approval.


Key Responsibilities 

  • Support administration of internal GitLab environments, including repositories, source control, user access, issue tracking, branching, merge requests, and change-management activities.
  • Develop, maintain, and troubleshoot CI/CD pipelines for scientific and custom-developed applications.
  • Support automated build, testing, security scanning, packaging, and deployment processes.
  • Develop and maintain automation scripts using languages such as Python, Java, Perl, Ruby, Bash, or similar technologies.
  • Build, deploy, and maintain containerized applications using Docker, Singularity/Apptainer, or comparable technologies.
  • Assist with the deployment and management of scientific and bioinformatics applications in Linux and high-performance computing environments.
  • Support installation, upgrade, configuration, testing, and dependency management for scientific software and application modules.
  • Assist with integration of commercial off-the-shelf (COTS), free/open-source (F/OSS), and internally developed software.
  • Support scientific computing tools and applications such as MicrobeTrace, MicroReact, Nextstrain, Posit Connect, and similar platforms.
  • Support deployment, configuration, testing, and maintenance of Nextflow workflows.
  • Assist bioinformatics teams with modernization or conversion of legacy scientific pipelines to Nextflow or other standardized workflow-management platforms.
  • Support implementation of nf-core or similar scientific workflow standards where applicable.
  • Implement or support automated security and vulnerability scanning using tools such as Trivy, Snyk, or comparable technologies.
  • Assist with container hardening, dependency management, and remediation of identified vulnerabilities.
  • Develop automation to improve software installation, deployment, configuration, testing, and environment management.
  • Troubleshoot application, container, pipeline, software-dependency, and deployment issues.
  • Collaborate with DevOps, bioinformatics, HPC, infrastructure, cybersecurity, and system administration teams.
  • Develop and maintain technical documentation, deployment instructions, configuration documentation, and standard operating procedures.

NOTE: Position Contingent upon award of contract.  This role is part of a pre-award candidate search for an upcoming federal government contract.  Employment is contingent upon BeVera Solutions receiving the contract award, final Government approval, funding, and any applicable client or contract requirements.  

Requirements:

 Required Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, Bioinformatics, Computational Biology, or a related technical or scientific discipline; equivalent relevant education and experience may be considered.
  • Approximately 2+ years of relevant professional, internship, research, or technical experience in one or more of the following:
    • DevOps
    • Software engineering
    • Bioinformatics
    • Scientific computing
    • High-performance computing
    • Systems or infrastructure engineering
  • Experience using Git or GitLab for source/version control.
  • Experience developing, supporting, or working with CI/CD pipelines.
  • Programming or scripting experience using one or more of the following:
    • Python
    • Java
    • Perl
    • Ruby
    • Bash/Shell
    • Similar programming or scripting languages
  • Experience with or demonstrated knowledge of Linux-based computing environments.
  • Experience with containerization technologies such as Docker, Singularity/Apptainer, or comparable tools.
  • Demonstrated ability to troubleshoot technical issues involving software applications, development environments, or infrastructure.
  • Strong analytical, documentation, communication, and problem-solving skills.
  • Ability to collaborate effectively with software, infrastructure, scientific, and bioinformatics teams.

Preferred Qualifications

  • Experience supporting bioinformatics or computational biology environments.
  • Experience with high-performance computing (HPC) environments.
  • Familiarity with next-generation sequencing (NGS) data or bioinformatics analysis pipelines.
  • Experience with Nextflow, nf-core, or another scientific workflow-management platform.
  • Experience working with scientific software deployment and dependency management.
  • Experience integrating COTS, open-source, or internally developed software into Linux or HPC environments.
  • Experience with tools such as MicrobeTrace, MicroReact, Nextstrain, or Posit Connect.
  • Experience using DevSecOps or vulnerability-scanning tools such as Trivy or Snyk.
  • Familiarity with container security and application-hardening practices.
  • Experience developing automated testing or deployment processes.
  • Experience working within federal government, public health, scientific research, healthcare, or other regulated computing environments.

Conditions of Employment

  • Must be legally authorized to work in the United States.
  • Must be able to meet applicable background investigation, suitability, and Government system-access requirements.
  • Must comply with applicable cybersecurity, privacy, confidentiality, system-access, and acceptable-use requirements.
  • Work location, telework eligibility, schedule, and other requirements will be determined by program and client needs.
  • Employment is contingent upon contract award, funding availability, and applicable Government approval.

Additional Information

All your information will be kept confidential according to EEO guidelines. An Equal Opportunity Employer. BeVera's hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran’s status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.