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Internship R Statistical Programmer Jobs in Columbus, OH

Amgen

Biostatistical Prograrmming Manager

Columbus, OH · On-site

... Stat packages Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred Familiarity with additional programming languages and tools such as ...

The Scotts Company LLC

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

While grounded in statistical programming (R) and rigorous research methodologies, the analyst will also leverage modern data tools (SQL, AWS) and applied AI to scale their workflows and improve data ...

Monitise

AI Engineer

Columbus, OH

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... such as Python or R to build and deploy models in production environments, preferably in ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

As an AI Engineer you will apply advanced machine learning and statistical techniques to detect ... such as Python or R to build and deploy models in production environments, preferably in ...

Munich Re

Data Scientist, AI

Columbus, OH · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Kimball Midwest

E-Commerce Data Analyst

Columbus, OH · On-site

... 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. • ...

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All 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 Jun 20, 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.
What are popular job titles related to Internship R Statistical Programmer jobs in Columbus, OH? For Internship R Statistical Programmer jobs in Columbus, OH, the most frequently searched job titles are:
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Internship R Statistical Programmer jobs near you

Biostatistical Prograrmming Manager

Amgen

Columbus, OH • On-site

Full-time

Posted 4 days ago

Job description

Career CategoryClinicalJob Description

Biostatistical Programming Manager

What you will do

Let's do this. Let's change the world. In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables.

This role is part of the centrally managed Quality and Quick Response (QQR) Programming team and is responsible for supporting urgent and high-priority programming needs across development programs. The manager will serve as a technical programming expert who can rapidly respond to internal and external requests, support special projects, provide global quality oversight, and contribute directly to programming deliverables when needed.

This role will primarily support programs within the Obesity Therapeutic Area and requires close collaboration with cross-functional teams to support fast-paced development activities and evolving business priorities.

Responsibilities

Provide rapid response statistical programming support for urgent internal and external requests

Serve as a lead programmer for studies and projects, such as Data Access Plan (DAP) activities, unblinding efforts, and special projects

Deliver hands-on programming support for SDTM, ADaM, Tables, Listings, and Figures (TFLs), and other study and regulatory submission deliverables as needed

Oversee the execution and quality of projects managed by our FSP partners per Amgen Global Statistical Programming (GSP) Quality Oversight Plan (QOP)

Ensure that FSP and in-house programming deliverables meet quality, compliance, timeline, and productivity expectations

Mitigate at-risk projects by providing technical expertise, programming support, and operational guidance

Contribute to training material development and delivery to internal teams and FSP partners

Provide guidance and technical consultancy to study programming team on Amgen processes, tools, and utilities

Lead/contribute to GSP continuous improvement iniatives and support cross-functional initiatives including inspection readiness, process improvement, innovation, and training activities

Contribute to programming team performance metrics development, data collection, and reporting

Review project documentation such as specifications, issue logs, deliverable status for accuracy and completeness

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a manager with these qualifications.

Basic Qualifications:

Doctorate degree OR

Master's degree and 2 years of statistical programming experience OR

Bachelor's degree and 4 years of statistical programming experience OR

Associate's degree and 8 years of statistical programming experience OR

High school diploma / GED and 10 years of statistical programming experience

Preferred Qualifications:

Masters in Computer Science, Statistics, Mathematics, Computer Science, Life Sciences or another relevant scientific subject

6+ years of statistical programming in biopharmaceutical industry

Regulatory submission experience

Strong hands-on SAS programming expertise including SAS Base, Macro, SQL, SAS/Graph and Stat packages

Experience with R programming for clinical trial analyses, data manipulation, reporting and visualization preferred

Familiarity with additional programming languages and tools such as Python preferred

Hands-on experience developing and validating SDTM, ADaM datasets, and TFLs

Thorough understanding of clinical trial processes from data collection through analysis and reporting

Ability to lead programmers in successful completion of all study programming activities and provide guidance on technical and process questions

Strong understanding of data standards and compliance checks including Pinnacle 21

Experience providing quality oversight for outsourced and internal programming deliverables

Ability to troubleshoot complex technical issues and turnaround at-risk projects

Experience working in a globally dispersed team on Phase 1-4 clinical trials

Experience supporting clinical development programs within the Obesity Therapeutic Area preferred

Understanding of obesity clinical endpoints, data standards, and regulatory considerations is highly desirable

Excellent oral and written English communication skills; strong collaboration, negotiation, and organizational skills

.

Salary Range

129,056.35USD -174,605.65USD

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