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Internship R Statistical Programmer Jobs in Tulsa, OK

T D Williamson

Quality Assurance Engineer II

Tulsa, OK · On-site

Overview The Quality Assurance Engineer is responsible to assist the Quality Manager to develop the ... Experience with statistical software such as Minitab, R or SAS Knowledge, Skills, and Abilities

AAON, Inc.

Intern - Engineering

Tulsa, OK · On-site

$15.25 - $19.75/hr

Interns will support engineering teams in the design, testing, and improvement of products and ... Collaborate with cross-functional teams including manufacturing, quality, and R&D. * Assist in ...

Webforge

Quality Engineer

Tulsa, OK · On-site

$65.80K - $84.90K/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 ...

Valmont Industries, Inc.

Quality Engineer

Tulsa, OK · On-site

$65.80K - $84.90K/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 ...

Webforge

Quality Engineer

Claremore, OK · On-site

$59.90K - $77.30K/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 ...

H R PUNDITS INC

Software Developer

Bixby, OK · On-site

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

H R PUNDITS INC

Software Developer

Bixby, OK · On-site

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

H R PUNDITS INC

Software Developer

Bixby, OK

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

The OSU/A&M System

Research Scientist GS9392

Tulsa, OK · On-site

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 ...

Varsity Tutors

Data Science Tutor

Tulsa, OK · Remote

$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 ...

Pwc

Data Strategy-Manager

Tulsa, OK

$99K - $232K/yr

You will leverage skills in data manipulation, visualisation, and statistical modelling to support ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

People also search for

All JobsR Statistical Programmer JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Tulsa, OK

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 May 31, 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 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 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 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 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 popular job titles related to Internship R Statistical Programmer jobs in Tulsa, OK? For Internship R Statistical Programmer jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Tulsa, OK look for? The top searched job categories for Internship R Statistical Programmer jobs in Tulsa, OK are:
Internship R Statistical Programmer jobs near you

Quality Assurance Engineer II

T D Williamson

Tulsa, OK • On-site

Full-time

Posted 19 days ago

Job description

At TDW we put people first - that means working everyday to ensure the pipelines that run through our communities are operating safely and reliably. What sets us apart is our expertise, experience and commitment.

Each day we dedicate ourselves to treating each other, our customers and our community with care and respect.

Overview

The Quality Assurance Engineer is responsible to assist the Quality Manager to develop the quality system in accordance with corporate policies, goals and objectives and the requirements of ISO 9001:2015, hence to contribute to improve the overall quality performance of the Company.

Key Responsibilities

Primary duties may include, but are not limited to:

  • Leads process and product improvement projects in the development of quality programs and procedures for TDW to ensure data collection is structured, managed, and utilized to benefit TDW's quality system.

  • Utilizes appropriate quality tools (e.g., problem solving and root cause analysis, lean and Sig Sigma) to help resolve issues related to non-conformances.

  • Manages the Material Review Board (MRB) to ensure that material is distributed appropriately and quickly.

  • Utilizes statistics, problem solving and other quality tools to monitor and improve TDW's business processes and to help troubleshoot production process and product issues.

  • Manages manufacturing related NCR/CAR activities to ensure timely administration of activities and records

  • Identifies and facilitate the resolution of problems at manufacturing sites

  • Provides regular reports detailing performance to key metrics including Cost of Failure

  • Designs any special testing requirements for evaluation of components or sub-assemblies that are manufactured.

Experience

  • Bachelor of Science degree in Statistics, Engineering, or other technical discipline preferred

  • ASQ Certified Quality Engineer and/or Six Sigma certification preferred

  • 3 years Quality Engineering or Supplier Quality Engineering experience with ISO 9001 certified company

  • Quality System Auditor certification (e.g., ASQ Certified Quality Auditor or RAB/QSA Certified Lead Auditor) preferred

  • Experience with statistical DOE, SPC, ANOVA, Regression and Theory of Constraints

  • Experience with statistical software such as Minitab, R or SAS

Knowledge, Skills, and Abilities

  • Good understanding of Design Failure Mode Effect Analysis (DFMEA) and Process Failure Mode Effect Analysis (PFMEA).

  • Working knowledge of Advanced Product Quality Planning (APQP) tools preferred.

  • Working knowledge of Lean Manufacturing and Six Sigma Black Belt preferred.

  • Demonstrated ability to create, develop, organize and utilize complex databases in a quality environment.

  • Thorough understanding of advanced statistics and their application in an industrial environment.

  • Excellent written, verbal, presentation and multimedia communications skills.

  • Intermediate MS Office skills.

  • Ability to travel (internationally and domestically), up to 20% of the time.

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