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Internship R Statistical Programmer Jobs in Oklahoma

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 ...

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Internship R Statistical Programmer information

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 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:
What job categories do people searching Internship R Statistical Programmer jobs in Oklahoma look for? The top searched job categories for Internship R Statistical Programmer jobs in Oklahoma are:
What cities in Oklahoma are hiring for Internship R Statistical Programmer jobs? Cities in Oklahoma with the most Internship R Statistical Programmer job openings:
Senior Engineer I, Digital Products

Senior Engineer I, Digital Products

Phillips 66

Bartlesville, OK • On-site

$141K - $172K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Phillips 66 rating

6.9

Company rating: 6.9 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

40th of 74 rated oil and gas companies


Job description

Phillips 66 & YOU - Together we can fuel the future
The Senior Engineer I, Digital Products will combine engineering and physics-based models, data/ML, and modern software practices to build asset-integrated decision systems that improve safety, reliability, and profitability. You'll work from problem scoping through deployment, using AI coding assistants to increase speed and impact.
You will use domain knowledge and advanced statistical and machine learning methods to solve enterprise-wide science and engineering problems located at the Phillips 66 Energy Research and Innovation (ERI) Center in Bartlesville, OK. The ERI team delivers critical support and solutions that enable strong operating excellence and growth opportunities for Phillips 66 worldwide.
What You'll Do
  • Develop and maintain domain model engines (e.g., kinetic, thermodynamic, reliability, optimization, or applied ML) and operationalize them in scalable workflows (APIs, jobs, pipelines).
  • Integrate time-series and contextual plant data (lab, historian, planning, maintenance) into reliable asset state representations and model inputs.
  • Implement decision-support tools (scenario analysis, risk/range framing, prioritization) that connect model outputs to operational and capital decisions.
  • Design and build asset-integrated systems that apply engineering, physics-based, and ML models to industrial data in support of clear business objectives.
  • Partner with business, engineering, operations, and IT to scope problems, define success metrics, deploy solutions, and iterate based on user feedback.
  • Harness AI coding assistants and agents to accelerate coding, refactoring, documentation, and data exploration, while keeping humans in the loop for validation and governance.

What You'll Bring - Required
  • Legally authorized to work in the United States
  • PhD in Chemical Engineering (or another closely related field) with 3 years of work experience OR Master's of Science in Chemical Engineering (or another closely related field) with 5 years of work experience
  • Intermediate or greater proficiency in programming using statistical and engineering languages (e.g., Python, R, Julia) with experience building production-grade data/model pipelines
  • Experience with engineering or scientific modeling (e.g., kinetics, thermodynamics, reliability, optimization, or applied ML)
  • Working knowledge of data engineering concepts (time-series data, ETL/ELT, data quality, and system integration with lab/historian/enterprise systems)
  • Ability to translate domain models into scalable, maintainable software systems (APIs, services, or applications) with testing and version control

What Makes You Stand Out - Preferred
  • Experience delivering asset-integrated digital products used in operations or planning, ideally in energy, chemicals, or similar industries
  • Familiarity with git-based workflows, automated testing, CI/CD, and MLOps/LLMOps practices, including containerization (e.g., Docker)
  • Experience using AI coding assistants or LLM-based tools professionally, with an understanding of appropriate guardrails
  • Exposure to building or contributing to simple user interfaces (dashboards, notebooks, or web apps) that surface models and decision tools to end users

Compensation Range
This position has a base salary range of $141,300 - $172,700.
At Phillips 66, we are committed to pay transparency and competitive, equitable compensation. Each role is assigned a salary grade with a defined pay range, benchmarked against industry peers. Where a candidate offer falls within the posted range depends on the candidate's experience, skills, and alignment with the role's requirements. Offers are made to ensure internal equity and market competitiveness. Our compensation programs are designed to reward performance and support career growth.
Total Rewards
At Phillips 66, providing access to high quality programs and care for you and your family is important to us. Maintaining a culture of well-being - physical, emotional, social, and financial - is essential for a high-performing organization. When we are at our best, we are poised to deliver exceptional results - personally and professionally. Benefits for certain eligible, full-time employees include:
  • Annual Variable Cash Incentive Program (VCIP) bonus
  • 8% 401k company match
  • Cash Balance Account pension
  • Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
  • Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services

Learn more about Phillips 66 Total Rewards.
Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. We have been recognized by the Human Rights Campaign, U.S. Department of Labor and the Military Times for our continued commitment to inclusive practices and policies in the hiring and retention of those in the LGBTQ+ community and military veterans. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, cultivate an environment of trust, seek different perspectives and pursue excellence.
Learn more about Phillips 66 and how we are working to meet the world's energy needs today and tomorrow, by visiting phillips66.com.
To be considered
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of 06/28/2026.
Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Phillips 66 is an Equal Opportunity Employer

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