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Internship R Statistical Programmer Jobs in Columbus, OH

... Engineering or Material Science; or MA with +5 industrial experience * Coding skills in R or Python including data preparation, regression, and plotting * Some formal education in statistics ...

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... R & Python  Knowledge of data gathering, cleaning and transforming techniques (desired)  Business intelligence (Qlikview, Power BI) programming experience (desired)  Applied statistics ...

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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 13, 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:
What job categories do people searching Internship R Statistical Programmer jobs in Columbus, OH look for? The top searched job categories for Internship R Statistical Programmer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Internship R Statistical Programmer jobs? Cities near Columbus, OH with the most Internship R Statistical Programmer job openings:
Manufacturing Process Engineer

Manufacturing Process Engineer

Allied Mineral Products Holding, Inc.

Columbus, OH • On-site

$71K - $94K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

Manufacturing Process Engineer
Allied Mineral Products is a leading manufacturer of monolithic refractories worldwide, headquartered in Columbus, Ohio. We are currently seeking a Manufacturing Process Engineer who will be responsible for developing, optimizing, and maintaining manufacturing processes to improve efficiency, quality, and cost-effectiveness. This role involves supporting new product introductions, driving continuous improvement initiatives, and ensuring compliance with safety and regulatory standards. The position requires strong technical expertise, problem-solving skills, and collaboration across multiple teams, including Production, Quality, Maintenance, and R amp;D. The role will also provide technical support for all North America sites.
Duties and Responsibilities
  • Analyze current manufacturing processes and identify opportunities for improvement in efficiency, quality, and cost.
  • Design and implement process enhancements, ensuring scalability and repeatability for new product introductions.
  • Develop and maintain comprehensive process documentation, including SOPs, work instructions, flow diagrams, PFMEAs, and control plans.
  • Maintain and update SAP routings to ensure accurate process flow and production standards.
  • Conduct root cause analysis and implement corrective actions for process deviations and failures.
  • Collaborate with cross-functional teams (Production, Quality, Maintenance, R amp;D) to resolve technical issues and align on process changes.
  • Develop Process Audits to ensure compliance with Allied’s Quality Systems.
  • Monitor process performance using KPIs and statistical tools; recommend and execute corrective actions as needed.
  • Support lean manufacturing initiatives and continuous improvement projects using methodologies such as Six Sigma.
  • Assist in the design and development of tooling, fixtures, and equipment to optimize production.
  • Perform time studies, process validation, and failure mode effects analysis (FMEA).
  • Troubleshoot process deviations and drive improvements in throughput, yield, and product quality.
  • Support equipment selection, layout design, and commissioning for new or upgraded production lines.
  • Ensure compliance with safety, environmental, and regulatory standards across all operations.
  • Train operators and technicians on new processes, equipment, and best practices.
  • Support all North America sites as needed. Travel up to 10% required.
Qualifications
  • Must have a bachelor’s degree in engineering (Mechanical, Chemical, Materials Science, or related field) or equivalent work experience.
  • Requires at least 5 years of work experience in manufacturing process engineering.
  • Previous experience in refractory, ceramics, or high-temperature materials manufacturing is a plus.
  • Must have a strong understanding of manufacturing processes, including batching, mixing, and packaging.
  • Must be proficient with CAD software (e.g., AutoCAD, SolidWorks) and familiarity with manufacturing systems (e.g., SAP, MES).
  • Proficiency with data analysis tools and process modeling software is beneficial.
  • Strong knowledge of Lean, Six Sigma, and continuous improvement methodologies.
  • Experience with process mapping, PFMEA, and control plans.
  • Experience in extrusion processes, with a preference for refractory plastics extrusion preferred.
  • Excellent problem-solving, analytical, and decision-making abilities.
  • Strong communication and collaboration skills for cross-functional teamwork.
  • Effective project management and organizational skills.
Benefits
  • Competitive Base Pay
  • Employee Stock Ownership Plan (ESOP) retirement plan with 25% annual company contribution
  • 401K program
  • Annual Profit Sharing
  • Paid Time Off for Vacation, Sick Days, Holidays
  • Medical, Prescription Drug, Dental, and Vision programs
  • Life Insurance
  • Short-Term, and Long-Term disability
Allied Mineral Products Holding, Inc. is an Equal Opportunity Employer/Veterans/Disabled.