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Internship R Statistical Programmer Jobs in Cary, NC

As a Staff Process Engineer, you will serve as a technical leader responsible for developing ... Deep knowledge of DoE, SPC, MSA, Gage R&R, Cp/Cpk, Pp/Ppk, ANOVA, regression, and statistical ...

As a Staff Process Engineer, you will serve as a technical leader responsible for developing ... Deep knowledge of DoE, SPC, MSA, Gage R&R, Cp/Cpk, Pp/Ppk, ANOVA, regression, and statistical ...

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

Risk Modeling Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

The internship program is a critical component of Enact's talent pipeline as we look to interns to ... Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data ...

Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or experience in cancer epidemiology, genomics, and/or social determinants of health * Exhibit strong ...

Have proficiency in statistical programming (e.g., R, SAS, STATA, or Python) * Have interest or experience in cancer epidemiology, genomics, and/or social determinants of health * Exhibit strong ...

Process Engineer

Mebane, NC · On-site

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and ... R, Process Flow Diagrams, PFMEA/FMEA's, etc. * Use various diagnostic equipment and tools to ...

Thorough experience with R and SAS programming. * Strong written and verbal communication skills, including the ability to explain statistical concepts to non-statistical audiences. Preferred ...

Process Engineer

Mebane, NC · On-site

$76K - $89K/yr

Perform Capability and Control Statistical Studies internally and externally. * Complete and ... R, Process Flow Diagrams, PFMEA/FMEA's, etc. * Use various diagnostic equipment and tools to ...

Thorough experience with R and SAS programming. * Strong written and verbal communication skills, including the ability to explain statistical concepts to non-statistical audiences. Preferred ...

Showing results 41-60

Internship R Statistical Programmer information

See Cary, NC salary details

$78.3K

$136.5K

$230.7K

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

As of Sep 14, 2026, the average yearly pay for internship r statistical programmer in Cary, NC is $136,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,800.00 and $148,200.00 per year, depending on experience, location, and employer.

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 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 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.

Which internship is best for statistics students?

The best internship for statistics students, including those interested in statistical programming roles like an Internship R Statistical Programmer, typically involves positions in data analysis, research, or data science that offer hands-on experience with statistical software such as R or SAS. These internships often provide exposure to real-world data projects, improve programming skills, and may require familiarity with statistical methods and data visualization tools. Selecting internships at research institutions, healthcare companies, or tech firms can enhance practical knowledge and improve job prospects in the field.

What are the most commonly searched types of R Statistical Programmer jobs in Cary, NC?

The most popular types of R Statistical Programmer jobs in Cary, NC are:

What are popular job titles related to Internship R Statistical Programmer jobs in Cary, NC?

For Internship R Statistical Programmer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Internship R Statistical Programmer jobs in Cary, NC look for?

The top searched job categories for Internship R Statistical Programmer jobs in Cary, NC are:

Infographic showing various Internship R Statistical Programmer job openings in Cary, NC as of September 2026, with employment types broken down into 10% Internship, 75% Full Time, 10% Part Time, and 5% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $136,453 per year, or $65.6 per hour.

Staff Process Engineer

Benson, NC • On-site

Other

Posted 13 days ago


Job description

Vulcan Elements is manufacturing American rare-earth permanent magnets for a secure, resilient future. With a focus on national security and economic resiliency, we serve critical industries including defense, aerospace, and automotive. We are building a team of ambitious professionals committed to Mission Focus, Technical Excellence, and Transparency.

As a Staff Process Engineer, you will serve as a technical leader responsible for developing, commissioning, qualifying, and scaling complex manufacturing processes from pilot-scale development into stable, repeatable high-volume production. This is a highly hands-on role. You will work directly on the manufacturing floor during equipment commissioning and production ramp, designing engineering trials, developing process recipes, establishing operating windows, solving complex process problems, and proving that manufacturing processes are statistically capable.

You will be expected to become the technical authority for assigned manufacturing processes, using data, experimentation, and fundamental engineering principles to drive decisions.

Core Responsibilities
  • Develop equipment recipes, process parameters, operating windows, and production standards.
  • Design and execute DoEs, analyze main effects/interactions, ANOVA, regression, and optimize critical process parameters.
  • Support FAT/SAT, equipment startup, engineering trials, qualification runs, and production ramp.
  • Perform Cp/Cpk, Pp/Ppk, SPC, control-chart, and process stability analysis.
  • Lead MSA and Gage R&R studies to verify measurement repeatability and reproducibility.
  • Develop and own Process Flows, PFMEA, Control Plans, BOP, Process Sheets, SOPs, Work Instructions, and Reaction Plans.
  • Lead structured problem solving using 5-Why, Fishbone, Pareto, 8D, hypothesis testing, and statistical analysis.
  • Improve FPY, scrap, rework, cycle time, OEE, throughput, and process capability.
  • Identify CTQs and Critical Process Parameters (CPPs) and establish monitoring, control limits, sampling plans, and reaction plans.
  • Mentor engineers and review DoEs, PFMEAs, capability studies, process specifications, and technical investigations.

Responsibilities and tasks outlined are not exhaustive and may change as determined by the needs of the business.

Qualifications
  • Bachelor's degree in Engineering, Materials Science, or related technical field with 7+ years of process/manufacturing engineering experience.
  • Strong hands‑on experience taking processes from development through commissioning, qualification, and high‑volume production.
  • Deep knowledge of DoE, SPC, MSA, Gage R&R, Cp/Cpk, Pp/Ppk, ANOVA, regression, and statistical process analysis.
  • Strong experience developing PFMEAs, Control Plans, Process Flows, Process Specifications, and manufacturing documentation.
  • Proven ability to troubleshoot complex equipment and process problems on the manufacturing floor.
  • Experience with statistical tools such as Minitab or JMP preferred.
  • Six Sigma Green Belt or Black Belt preferred.
  • Experience in metallurgy, advanced materials, powder processing, high‑temperature processing, automotive, aerospace, or other high‑volume manufacturing preferred.

Must be a U.S. Person due to required access to U.S. export‑controlled information or facilities.

Good to Have / Preferred Skills
  • Experience with Minitab, JMP, Python, MATLAB, or similar statistical/data‑analysis tools.
  • Six Sigma Green Belt or Black Belt certification.
  • Experience with APQP, PPAP, Control Plans, MSA, and IATF 16949 methodologies.
  • Experience with high‑temperature processing, powder processing, metallurgy, vacuum processing, chemical processing, precision machining, or advanced materials.
  • Experience developing automated process monitoring and SPC/MES dashboards.
  • Familiarity with PLC/HMI systems and automated equipment parameter collection.
  • Experience in highly regulated industries such as Defense, Aerospace (AS9100), Semiconductor, Medical Device, or Automotive (IATF 16949).
  • Experience supporting greenfield factory launches and large‑scale production ramps.
Travel

Some travel will be required to equipment suppliers for design reviews, engineering trials, Factory Acceptance Tests (FAT), and commissioning support.

Physical and Environmental Requirements

The position requires regular presence on the production floor and the ability to navigate all areas of the facility. Candidates must be able to climb stairs, stand and walk for extended periods, and work in environments that may be hot, humid, or noisy. The role also requires the use of personal protective equipment, including respirators, and adherence to all applicable safety policies, procedures, and regulatory requirements. Employees must be able to complete required fit testing, wear appropriate PPE for the duration of assigned tasks, and respond safely to changing conditions within the production environment.

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