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Internship R Programming Language Jobs in Gainesville, FL

... language and communication skills, and problem-solving skills. Partner with us to help empower ... hours programming for children. This role ensures constant visual supervision, leads age ...

Internship R Programming Language information

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$8

$15

$21

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

As of Jun 18, 2026, the average hourly pay for internship r programming language in Gainesville, FL is $15.68, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $17.40 per hour, depending on experience, location, and employer.

Is 30 an hour good for an intern?

For an internship involving R programming, a rate of $30 an hour is considered above average in many regions, especially for entry-level or learning positions. Interns typically earn lower wages, but this rate may reflect specialized skills, remote work, or competitive markets; it is important to consider local standards and the internship's scope. Compensation can vary based on industry, location, and the intern's experience level.

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 jobs use the R programming language?

Jobs that use the R programming language include data analyst, data scientist, biostatistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and familiarity with data management tools. R is widely used in industries such as healthcare, finance, and academia for data analysis and modeling.

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.

Is the R programming language in demand?

The R programming language is in demand for data analysis, statistical modeling, and data visualization roles. Many industries such as healthcare, finance, and research seek professionals skilled in R, especially those familiar with data manipulation packages like dplyr and ggplot2. Proficiency in R can enhance job prospects in data science and analytics fields.

Is R in high demand?

R programming language skills are in high demand in data analysis, statistics, and data science roles. Many organizations seek professionals proficient in R for data visualization, statistical modeling, and machine learning tasks, making it a valuable skill for internships and entry-level positions in these fields.

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 are popular job titles related to Internship R Programming Language jobs in Gainesville, FL? For Internship R Programming Language jobs in Gainesville, FL, the most frequently searched job titles are:
What job categories do people searching Internship R Programming Language jobs in Gainesville, FL look for? The top searched job categories for Internship R Programming Language jobs in Gainesville, FL are:
What cities near Gainesville, FL are hiring for Internship R Programming Language jobs? Cities near Gainesville, FL with the most Internship R Programming Language job openings:
Business Data Analyst | Business Analytics | Full-Time | Day

Business Data Analyst | Business Analytics | Full-Time | Day

UF Health

Gainesville, FL โ€ข On-site

Full-time

Posted 7 days ago


Job description

Overview
The Business Data Analyst develops and maintains decision support, data warehousing, and reporting application systems to meet the information needs of physician practices and the College of Medicine. This role provides advanced reporting and analytics to support strategic business decisions, maintains standard reporting processes, fulfills ad hoc reporting requests, and develops models and forecasts for key business operations.
The Business Data Analyst leverages various databases and analytical tools, including Microsoft Office Suite, SQL Server, R, and SAS, to transform data into actionable insights. The position also supports revenue cycle management through contract performance monitoring, payer analysis, reimbursement modeling, and reporting for clinical, research, and quality improvement initiatives.
Responsibilities
Data Analysis & Reporting
  • Gather, analyze, and document business and reporting requirements.
  • Analyze and interpret complex datasets to identify trends, patterns, and business opportunities.
  • Develop and maintain daily, weekly, and monthly dashboards and performance reports.
  • Produce, publish, and distribute scheduled and ad hoc reports.
  • Provide meaningful interpretation and recommendations based on data analysis.
  • Present findings and insights to stakeholders and senior leadership.

Business Intelligence & Decision Support
  • Develop and maintain decision support and reporting systems.
  • Create forecasting models for key business and operational processes.
  • Support strategic planning and operational decision-making through advanced analytics.
  • Ensure data accuracy, integrity, and consistency across reporting platforms.

Revenue Cycle & Contract Analytics
  • Monitor managed care contract performance and reimbursement trends.
  • Perform detailed analysis of revenue cycle performance by payer and line of business.
  • Identify and resolve issues affecting reimbursement and cash flow.
  • Support payer contract negotiations by modeling reimbursement methodologies and rate proposals.
  • Evaluate physician reimbursement structures and financial impacts.

Clinical & Quality Reporting
  • Produce data and analytics to support clinical, research, and quality improvement initiatives.
  • Analyze healthcare quality measures and performance programs, including MIPS and other value-based initiatives.
  • Collaborate with cross-functional teams to meet reporting and compliance requirements.

Qualifications
Required Education
  • Bachelor's degree in Business Analytics, Computer Science, Engineering, Healthcare Administration, or a related field.
  • Graduate degree strongly preferred.

Required Experience & Skills
  • Advanced proficiency in Microsoft Office applications, particularly Excel.
  • Demonstrated experience with Structured Query Language (SQL).
  • Experience with statistical analysis tools such as R or SAS.
  • Strong knowledge of statistical methods and analytical techniques.
  • Proven experience in data analytics, reporting, and business intelligence.
  • Ability to analyze, interpret, and communicate complex data to diverse audiences.
  • Strong problem-solving, organizational, and analytical skills.
  • Exceptional attention to detail and accuracy.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills.
  • Ability to effectively interact with senior leadership and key stakeholders.

Preferred Qualifications
  • Experience in healthcare analytics or healthcare operations.
  • Experience with SAP BusinessObjects and Epic reporting systems.
  • Knowledge of healthcare quality initiatives, including MIPS and value-based care programs.
  • Experience interpreting managed care contract language.
  • Experience evaluating physician reimbursement and compensation methodologies.