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Internship R Statistical Programmer Jobs in Tulsa, OK

Engineer II, Manufacturing

Tulsa, OK · On-site

$66K - $85K/yr

Utilize statistical tools (SPC, DOE, Gage R&R) to inform decision-making * Develop and maintain process documentation, work instructions, and procedures * Support engineering and capital projects

Engineer II, Manufacturing

Tulsa, OK

$66K - $85K/yr

Utilize statistical tools (SPC, DOE, Gage R&R) to inform decision-making * Develop and maintain process documentation, work instructions, and procedures * Support engineering and capital projects

Quality Engineer

Tulsa, OK

$65K - $84K/yr

... R, SPC, etc.) as required * Utilizes LEAN principles to minimize waste as it pertains to QC ... Ability to utilize MiniTab or equivalent statistical analysis software. * Ability to read and ...

Quality Engineer

Claremore, OK

$59K - $77K/yr

... R, SPC, etc.) as required * Utilizes LEAN principles to minimize waste as it pertains to QC ... Ability to utilize MiniTab or equivalent statistical analysis software. * Ability to read and ...

Quality Engineer

Tulsa, OK · On-site

$65K - $84K/yr

... R, SPC, etc.) as required * Utilizes LEAN principles to minimize waste as it pertains to QC ... Ability to utilize MiniTab or equivalent statistical analysis software. * Ability to read and ...

Generate statistics and prepare reports on programming processes. * Technical Skills : * Proficiency in PL/SQL (Packages, Functions, Procedures, SQL Loader, Scripts, DB links). * Familiarity with ...

Conduct quantitative analyses using Python and/or R * Analyze and interpret high-throughput DNA/RNA ... D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field ...

Quality Engineer I

Tulsa, OK · On-site

$65K - $84K/yr

Internship or co-op experience in manufacturing or engineering * Exposure to statistical analysis, SQL, or quality tools * Spanish language skills What to Expect * Hands-on experience: Time spent ...

Quality Engineer I

Tulsa, OK · On-site

$65K - $84K/yr

Internship or co-op experience in manufacturing or engineering * Exposure to statistical analysis, SQL, or quality tools * Spanish language skills What to Expect * Hands-on experience: Time spent ...

Data Science Tutor

Tulsa, OK · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

... Statistics, or a related quantitative field - At least 3 years of professional experience ... Engineering preferred - Experience with LLMs, prompt engineering, and orchestration tools ...

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Internship R Statistical Programmer information

See Tulsa, OK salary details

$77.2K

$134.5K

$227.4K

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

As of Jun 24, 2026, the average yearly pay for internship r statistical programmer in Tulsa, OK is $134,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $146,100.00 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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