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Internship R Programming Language Jobs in University, MO

Biomerieux

Sr. Data Scientist

Hazelwood, MO · On-site

Mentoring others in the department on technology, methods and programming language utilization ... R, Code - samples to be provided upon request Preferred Education, Training, and Experience

Steris Corporation

Controls Engineer

Saint Louis, MO · On-site

$78K - $101K/yr

PLC Programming and Troubleshooting * HMI / SCADA Configuration and Support * Basic Industrial ... foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio.

Boeing

Mid-Level F-22 Systems Engineer

Berkeley, MO

$112 - $200/hr

Experience with basic programming, Visual Basic Application (VBA) use with Access and Excel ... Tableau), Structured Query Language (SQL), block flow diagrams, aircraft maintenance flow ...

New

Boeing

Mid-Level F-22 Systems Engineer

Berkeley, MO · On-site

$112 - $200/hr

Experience with basic programming, Visual Basic Application (VBA) use with Access and Excel ... Tableau), Structured Query Language (SQL), block flow diagrams, aircraft maintenance flow ...

New

Boeing

Mid-Level F-22 Systems Engineer

Berkeley, MO · On-site

$112 - $200/hr

Experience with basic programming, Visual Basic Application (VBA) use with Access and Excel ... Tableau), Structured Query Language (SQL), block flow diagrams, aircraft maintenance flow ...

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Internship R Programming Language information

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How much do internship r programming language jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for internship r programming language in University, MO is $16.19, according to ZipRecruiter salary data. Most workers in this role earn between $13.51 and $17.98 per hour, depending on experience, location, and employer.

What is an Internship in R Programming Language?

An Internship in R Programming Language is a temporary position designed for students or recent graduates to gain practical experience using R, a popular language for statistical computing and data analysis. Interns typically work on real-world projects involving data manipulation, statistical modeling, and data visualization under the supervision of experienced professionals. These internships help participants develop valuable technical skills, enhance their resumes, and network within the industry. They are often available in sectors like finance, healthcare, technology, and academia, where data-driven decision-making is crucial.

What is the difference between Internship R Programming Language vs Data Analyst?

AspectInternship R Programming LanguageData Analyst
Required CredentialsBasic programming skills, often pursuing or recent graduatesBachelor's degree in related field, some certifications
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time professional role
Industry UsageUsed for data analysis, visualization, and statistical tasksAnalyzes data, creates reports, supports decision-making

Internship R Programming Language focuses on learning and applying R skills in a temporary, entry-level setting, often as part of an internship. Data Analysts use R among other tools to perform ongoing data analysis in a professional environment. While internships are training roles, Data Analysts are full-time professionals with broader responsibilities.

What are the key skills and qualifications needed to thrive as an R Programming Language Intern, and why are they important?

To thrive as an R Programming Language Intern, you need a solid understanding of R syntax, data manipulation, and basic statistical concepts, often supported by coursework or relevant project experience. Familiarity with tools like RStudio, version control systems such as Git, and packages like dplyr and ggplot2 is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly help interns stand out. These skills are vital for producing reliable analyses, collaborating effectively, and contributing to data-driven decision-making within an organization.

What types of projects or tasks can I expect to work on during an R Programming Language internship?

As an R Programming Language intern, you'll typically be involved in data analysis, statistical modeling, and creating data visualizations using R. You may work on cleaning and preparing datasets, developing scripts to automate data processing, or assisting with research projects that require statistical analysis. Collaboration with data scientists, analysts, or research teams is common, and you'll likely have opportunities to present your findings or contribute to reports. This hands-on experience can help you build a strong foundation in data science and analytics, preparing you for more advanced roles in the field.
What cities near University, MO are hiring for Internship R Programming Language jobs? Cities near University, MO with the most Internship R Programming Language job openings:
Internship R Programming Language jobs near you

Sr. Data Scientist

Biomerieux

Hazelwood, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 23 days ago

Job description

Description
bioMerieux's Data Science group is looking for an experienced Data Scientist to help develop solutions for the next generation product concepts that will have a direct impact on the future of medical diagnostics.
The position involves all aspects of feasibility and design work focused on the application of mathematical techniques, data analytics, experiment design, algorithm design and statistical analysis to drive concepts from ideation through feasibility and into development. Algorithm design will involve image processing and machine learning methodologies from design to optimization.
The position will include collaboration and interaction with other scientists and engineers while prototyping, integrating and testing the technology for the next generation of diagnostic products for hospitals and laboratories. Coordination as a project team member with marketing, project management, quality analytics, manufacturing, regulatory and other functional areas will be required.
The Data Scientist is expected to prototype and design to the goals of functionality and operational utility while considering long term architecture, solution universality, practicality, connectivity, and schedule commitments. The position requires the ability to perform critical analysis, work well in teams, and self-manage.
Primary Duties
  • Responsible for completeing tasks within the Data Science function, requiring close collaboration and coordination with other global engineering/scientific disciplines, departments, and third-party partners
  • Encourages best practices in Data Science and lead the utilization of advanced theories, methods and research techniques in product development and manufacturing
  • Mentoring others in the department on technology, methods and programming language utilization
  • Build relationships with external development partners and prospective technology partners; co-develop and drive projects with these partners
  • Represent Data Science on project teams and provides inputs to Project Management on a project-by-project basis. Provide Project Team inputs back to a sub-team of Data Scientists
  • Candidate must be well grounded in fundamental and advanced concepts of applied mathematics, data analytics, statistics and image processing
  • Performance of statistical analysis to interpret experimental results
  • Design experimental methods and plans to generate results that drive critical product design selections
  • Independent Development and implementation of algorithms using global software development tools, methodologies and processes
  • Understanding and willingness to self-learn the technologies used in this domain to be up-to-date with the latest developments in data analytics, image processing and machine learning both in academia and in industry
  • Enjoy working in areas outside of usual comfort zone and love to learn new technologies. Familiarity with or interest in biology, microbiology and biochemistry
  • Proficient analytical, problem-solving and debugging skills. Must be able to perform in small team environment with minimal supervision
  • Perform all work in compliance with company quality procedures and standards
  • Perform other duties as assigned

    • Qualifications
    Required Education, Training, and Experience
    • Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering
    • 5 years of professional related experience with Machine Learning, Statistics, Image Analysis, Signal/Time Series Analysis and Programming expereince with Python or R, Code - samples to be provided upon request

    Preferred Education, Training, and Experience
    • Masters or PhD preferred
    • Work Exerpience in ISO or FDA regulated environment preferred

    Knowledge, Skills, and Abilities (KSAs)
    • Consistently upholds and reflects the core ethical principles and values that bioMérieux promotes
    • Effective Presentation Skills - including the ability to present technical data
    • Analyze data and make decisions/recommendations, using data to guide decision-making and provide suggestions for improvement
    • Critical thinking, using logic and reason to analyze information and make decisions in the workplace
    • Ability to work cross-functionally allowing for better collaboration and communication when working across teams to achieve shared objectives
    • Skilled in MS Office tools to include but not limited to Outlook, Teams, Word, and Excel

    Supervisory Responsibilities (Summary)
    • Direct supervision: 0
    • Indirect supervision: 0
    • Decision-making scope:
      • Short-term operational/tactical decisions with little-to-no supervisory review
      • Long-term strategic decisions require supervisory approval

    Working Conditions (Summary)
    • Ability to remain in a stationary position for prolonged periods - Yes
    • Ability to wear PPE correctly most of the day - Yes
    • Typical office setting
    • Domestic travel: 10%
    • International travel: 0%
    • Total travel: 10%

    The estimated salary range for this role is between $115,000 and $160,000. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer.
    In addition, bioMérieux offers a competitive Total Rewards package that may include:
    • A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options
    • Company-Provided Life and Accidental Death Insurance
    • Short and Long-Term Disability Insurance
    • Retirement Plan including a generous non-discretionary employer contribution and employer match.
    • Adoption Assistance
    • Wellness Programs
    • Employee Assistance Program
    • Commuter Benefits
    • Various voluntary benefit offerings
    • Discount programs
    • Parental leaves
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