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Internship R Programming Language Jobs in Huntsville, AL

Software Reverse Engineer

Huntsville, AL · On-site

$112K - $179K/yr

... internship experience) with 8+ years of experience; OR Master's degree in Computer Science ... Knowledge of low-level programming concepts (C, C++, Assembly) and at least one scripting language ...

... large language model (LLM) integration, retrieval-augmented generation (RAG) pipelines, and ... technical role (internship and academic project experience considered) Technical Skills • ...

Summary Pay Range: $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Summary Pay Range: $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Summary Pay Range: $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor ... R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Summary Pay Range: $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Summary Pay Range: $141,100 - $190,900 Language Requirements: Not Applicable Education: Bachelor ... R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship r programming language in Huntsville, AL is $17.05, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.94 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What are popular job titles related to Internship R Programming Language jobs in Huntsville, AL? For Internship R Programming Language jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Huntsville, AL look for? The top searched job categories for Internship R Programming Language jobs in Huntsville, AL are:
What cities near Huntsville, AL are hiring for Internship R Programming Language jobs? Cities near Huntsville, AL with the most Internship R Programming Language job openings:

Senior/Mid-Level Model Based Systems Engineer (MBSE) U.S. Citizenship Required

Trigon Cyber, Inc.

Huntsville, AL • On-site

$97K - $133K/yr

Full-time

Re-posted 3 days ago


Job description

Salary:

Job Description:

We are seeking a talented MidSenior Level Model-Based Systems Engineer (MBSE) to support mission-critical programs in a collaborative environment. This role is ideal for someone with strong technical expertise who is committed to delivering reliable, system-level solutions in support of government objectives.The ideal candidate will have experience in one or more areas, including developing and coordinating Government customer requirements, system model descriptions, verification, specifications, test plans, and system risks and design reviews using a SysML tool.We also welcome candidates with strong quantitative and analytical backgrounds, including those from biomedical, biological, or computational research fields, who demonstrate the ability to learn and apply systems modeling methodologies.

Required Qualifications:

  • U.S. citizenship and Huntsville, Alabama area resident
  • Bachelors Degree in an engineering discipline (e.g., systems, aerospace, electrical, biomedical, etc.) or a related technical field such as computational biology, bioinformatics, or other quantitative sciences
  • Basic understanding of requirements and requirements specifications; candidates with experience defining research objectives, experimental protocols, or data pipeline specifications are encouraged to apply
  • Ability to learn Systems Modeling Language (SysML) and related languages such as UML or BPMN; candidates with experience in structured modeling environments (e.g., network models, statistical models, or simulation frameworks) are well-positioned to succeed
  • Ability to learn SysML modeling tools such as Cameo EA (a.k.a. MagicDraw)
  • Ability to work in a collaborative, team-oriented environment
  • Strong analytical and problem-solving skills; experience with data analysis, quantitative research, or computational methods is a plus

Desired Qualifications:

  • 5-7 years or more of experience working with a DoD government client or in a research environment involving complex systems, data integration, or multi-disciplinary teams
  • Familiarity with Cameo EA or other modeling or simulation tools such as Sparx EA or MATLAB; candidates with MATLAB experience from academic or research settings are strongly encouraged
  • Familiarity with programming languages such as Python, R, C++, or similar; experience using Python or R for data analysis, scripting, or automation is directly applicable
  • Experience with systems-level thinking: designing experiments with defined inputs, outputs, and verification criteria (e.g., thesis research, multi-omics pipelines, or engineering design projects)
  • Experience communicating complex technical findings to diverse audiences (e.g., presentations, publications, design reviews, or symposia)
  • Advanced degree (M.S. or Ph.D.) in an engineering or quantitative science discipline is a plus

Security Requirements:

Candidate must possess or be able to obtain and maintain a Final Secret Clearance.