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Internship R Statistical Programmer Jobs in Oklahoma

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 ...

Boeing

Associate Manufacturing Engineer

Oklahoma City, OK · On-site

$79.05K - $106.95K/yr

... an internship * Experience working in a cross-functional environment Conflict of Interest ... R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

Boeing

Associate Manufacturing Engineer

Oklahoma City, OK · On-site

$79.05K - $106.95K/yr

... an internship * Experience working in a cross-functional environment Conflict of Interest ... R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent ...

ERG

Quality Engineer

Mcalester, OK · On-site

$63.40K - $82K/yr

ERG is seekinganexperienced engineer or scientist to support quality management in an ISO 9001:2015 ... Working knowledge of statistical process control and how to apply the X-bar, P and R charts ...

ERG

Quality Engineer

Mcalester, OK

$63.40K - $82K/yr

ERG is seeking an experienced engineer or scientist to support quality management in an ISO ... Working knowledge of statistical process control and how to apply the X-bar, P and R charts ...

ERG

Quality Engineer

Mcalester, OK

$63.40K - $82K/yr

ERG is seekinganexperienced engineer or scientist to support quality management in an ISO 9001:2015 ... Working knowledge of statistical process control and how to apply the X-bar, P and R charts ...

Cytel

Consultant - Pharmacology

Oklahoma City, OK

Work closely with Cytel's business developers, statisticians, software teams, and data scientists ... Proficiency in Phoenix WinNonlin/NLME, R, and strong understanding of computational and statistical ...

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Internship R Statistical Programmer information

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 the most commonly searched types of R Statistical Programmer jobs in Oklahoma? The most popular types of R Statistical Programmer jobs in Oklahoma are:
What are popular job titles related to Internship R Statistical Programmer jobs in Oklahoma? For Internship R Statistical Programmer jobs in Oklahoma, the most frequently searched job titles are:
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What cities in Oklahoma are hiring for Internship R Statistical Programmer jobs? Cities in Oklahoma with the most Internship R Statistical Programmer job openings:
Internship R Statistical Programmer jobs near you

Research Scientist GS9392

The OSU/A&M System

Tulsa, OK • On-site

Full-time

Posted 16 days ago

Job description

Campus

OSU-Center for Health Sciences

Contact Name & Email

Jamie Childers, Jamie.Childers@okstate.edu

Work Schedule

Typically Monday - Friday, 8 hour shifts

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

Salary

Priority Application Date

While applications will be accepted until a successful candidate has been hired, interested parties are encouraged to submit their materials by to ensure full consideration.

Special Instructions to Applicants

For full consideration, please include a resume or CV, cover letter and contact information for three professional references

About this Position

The Department of Anatomy & Cell Biology is seeking a Research Assistant or Scientist to provide quantitative and data-focused support for human and mouse neuroscience research. This position focuses on data management, analysis, and study infrastructure for IRB-regulated human and animal subjects research, including behavioral and neuroimaging studies. The role functions as a shared analytical resource and is primarily computational in nature, with limited but essential involvement in human subjects research activities.

Key Responsibilities

  • Conduct quantitative analyses using Python and/or R
  • Analyze and interpret high-throughput DNA/RNA sequencing (bulk and single-cell RNA-seq) datasets using established pipelines and statistical methods;
  • Support development and deployment of behavioral tasks (online and in-person)
  • Assist with neuroimaging and behavioral data workflows
  • Ensure compliance with data security and IRB regulations as well as ensuring data integrity and reproducibility  
Required Qualifications
  • Master's
    • Master’s degree or Ph.D. in neuroscience, bioinformatics, data science, biomedical engineering, or a related field
    (degree must be conferred on or before agreed upon start date)
    • Experience with quantitative data analysis (Python and/or R)
    • Experience working with research data or regulated datasets
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Ability to implement and troubleshoot bioinformatics workflows in R and/or Python for quality control, normalization, clustering, differential expression or other analysis steps
    • Strong organizational and communication skills
Preferred Qualifications
  • Ph.D. degree
    • Ph.D. degree in a relevant field
    • Experience with large-scale databases (behavioral, neuroimaging, genomic databases)
  • Certifications, Registrations, and/or Licenses:
  • Skills, Proficiencies, and/or Knowledge:
    • Familiarity with Unix/Linux environments

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