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Internship R Statistical Programmer Jobs in Columbus, OH

Momentive Technologies

Senior Process Engineer

Hebron, OH ยท On-site

$95K - $123K/yr

Apply Six Sigma methodology, statistical, surface and materials characterization tools for process ... R. * Ability to collaborate with manufacturing, supplier, and customer to accomplish project ...

Owens Corning

Engineer R & D

Granville, OH ยท On-site

PURPOSE OF JOB The Materials Engineer is key to securing continued production across Asphalt ... Experience with statistics to drive data based decisions and develop customer-inspired test methods ...

Owens Corning

Engineer R & D

Granville, OH ยท On-site

PURPOSE OF JOB The Materials Engineer is key to securing continued production across Asphalt ... Experience with statistics to drive data based decisions and develop customer-inspired test methods ...

Bread Financial

Data Scientist

Columbus, OH ยท On-site +1

$101K - $198K/yr

Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports To : Manager and above Direct Reports : 0 Work Environment * Normal ...

Bread Financial Holdings, Inc.

Data Scientist

Columbus, OH ยท On-site

$101K - $198K/yr

Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment Reports To : Manager and above Direct Reports : 0 Work Environment * Normal ...

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH ยท On-site

Experience with statistical programming languages such as R or Python. * Experience developing dashboards and visualizations using business intelligence tools such as Tableau, Power BI, or Looker.

Owens Corning

Sr Engineer R & D

Granville, OH ยท On-site

Experience with statistical analysis, data analysis, and reporting. * Ability to travel up to 30 ... Advanced degree in Engineering or related Scientific or Technical Field with 5+ years of experience ...

Owens Corning

Sr Engineer R & D

Granville, OH ยท On-site

Experience with statistical analysis, data analysis, and reporting. * Ability to travel up to 30 ... Advanced degree in Engineering or related Scientific or Technical Field with 5+ years of experience ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH ยท On-site

$57/hr

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

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All JobsR Statistical Programmer JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Columbus, OH

Internship R Statistical Programmer information

See Columbus, OH salary details

$81.6K

$142.3K

$240.5K

How much do internship r statistical programmer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for internship r statistical programmer in Columbus, OH is $142,269.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,700.00 and $154,500.00 per year, depending on experience, location, and employer.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an Internship R Statistical Programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
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