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Internship R Programming Language Jobs in Salt Lake City, UT

Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQL Server) * Ability to code in 1+ general purpose programming language (C#, Java, etc.) * Must be a ...

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQL Server) * Ability to code in 1+ general purpose programming language (C#, Java, etc.) * Must be a ...

Sr. Data Scientist

Lehi, UT ยท On-site

  • Medical

  • Retirement

  • PTO

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQL Server) * Ability to code in 1+ general purpose programming language (C#, Java, etc.) * Must be a ...

Sr. Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQLServer) * Ability to code in 1+ general purpose programming language (C#, Java, etc.) * Must be a ...

Sr. Data Scientist

Lehi, UT

  • Medical

  • Retirement

  • PTO

Demonstrated competency in R/Python predictive modeling * Demonstrated competency in RDBMS (e.g. SQLServer) * Ability to code in 1+ general purpose programming language (C#, Java, etc.) * Must be a ...

Lead Data Scientist

Draper, UT ยท On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series Analysis * Cloud Environment * Conjoint Analysis * Agentic AI Reports To : Senior Manager and above ...

Junior Dev Ops Engineer

Salt Lake City, UT

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in at least one modern programming or scripting language (e.g., Python, Go, Bash ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

Proficiency in at least one modern programming or scripting language (e.g., Python, Go, Bash ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

Junior Dev Ops Engineer

Salt Lake City, UT ยท On-site

$51 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Proficiency in at least one modern programming or scripting language (e.g., Python, Go, Bash ... Experience through internships, labs, or personal projects in DevOps or cloud environments Why You ...

Data Scientist

Lehi, UT ยท On-site

$90 - $130/hr

Partner with data warehouse engineers, data engineers, product teams, subject-matter experts, and ... Exposure to R or other data science and statistical tools * Experience with Power BI, Tableau, or ...

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Internship R Programming Language information

See Salt Lake City, UT salary details

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

As of Aug 18, 2026, the average hourly pay for internship r programming language in Salt Lake City, UT is $16.75, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $18.61 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 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 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 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 popular job titles related to Internship R Programming Language jobs in Salt Lake City, UT?

For Internship R Programming Language jobs in Salt Lake City, UT, the most frequently searched job titles are:

What job categories do people searching Internship R Programming Language jobs in Salt Lake City, UT look for?

The top searched job categories for Internship R Programming Language jobs in Salt Lake City, UT are:

Infographic showing various Internship R Programming Language job openings in Salt Lake City, UT as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $34,832 per year, or $16.7 per hour.

Data Scientist

Waystar

Lehi, UT โ€ข On-site

Other

Medical, Retirement, PTO

Re-posted 14 days ago


Job description

ABOUT THIS POSITION
Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Incumbents whose primary role is technical and focused on data storage, warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports, reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial, marketing or pricing data should be matched to Finance, Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused, working in conjunction with Professional Services and outsourcing functions.
WHAT YOU'LL DO
Job Description
We are looking for an experienced Data Scientist, who has previously supported Healthcare software applications. The data scientist role involves solving technical, data-driven Healthcare problems using computer science, mathematical, predictive modeling and statistical methods, & knowledge. This person will interact with teams from Account Management to Application Engineering and R&D, to conduct detailed analysis and experimentation to maximize the utility of predictive modeling, analytic and machine learning across Waystar's product line. The role will focus on extending machine learning, predictive modeling, and analytic components to provide up-to-date intelligence to Healthcare providers maximizing outcomes. An ideal candidate for this position can approach problem-solving challenges independently, has a strong attention to detail, and enjoys working in a fast-paced, collaborative, and team-based environment.
  • Additional Job Description
    • Complete familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, clustering, and various multivariate methods
    • Complete familiarity with empirical approaches to estimate performance of machine learning models including: hold-out sets, cross-validation, leave-one-out testing
    • Understanding of orders of algorithms and how they scale
    • Demonstrated competency in R/Python predictive modeling
    • Demonstrated competency in RDBMS (e.g. SQL Server)
    • Ability to code in 1+ general purpose programming language (C#, Java, etc.)
    • Must be a quick-learner with the ability to multi-task in a fast-paced environment
    • Outstanding presentation abilities and the ability to communicate with all levels of the Business
    • Comfortable working in newly-forming, ambiguous areas where learning and adaptability are key skills
    • Outstanding communication and interpersonal skills
    • Must possess strong analytical, problem-solving, and writing skills
    • Proficient in Microsoft Office applications
    • Detail-oriented
    • Master of Science degree or higher in the fields of Computer Science, Statistics, or Mathematics is preferred
    • An aptitude for medical informatics is preferred

WHAT YOU'LL NEED
Additional Job Description
  • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design information and user behavior
  • Works closely with Application Engineering teams to gather and process data, as well as in surfacing various analytically-based features in core products
  • Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, producing quantitative, justifiable results to guide feature planning
  • Translates real-world Healthcare problems to mathematical frameworks
  • Works with Product Management, Marketing, and Sales as needed to promote sales and to incorporate market and customer feedback
  • Data exploration, hypothesis creation (from business and product goals), testing algorithms, scaling to large data-sets and validating results will be common tasks for this role
  • Understands, organizes, and communicates root causes of problems and successes succinctly

ABOUT WAYSTAR
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar on Twitter.
WAYSTAR PERKS
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.