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R Programming Language Jobs in Indiana (NOW HIRING)

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Proficiency in SQL, Excel, and at least one statistical programming language (Python or R). * Familiarity with healthcare, pharmacy, or claims/dispensing operational data. * 1-3 years of experience ...

New

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Proficiency in at least one programming language, such as Python or R * Experience with a BI reporting platform, such as Tableau * Excellent communication, analytical and problem-solving skills * At ...

Becton, Dickinson and Company

Ability to program, document, and validate statistical software code in at least one statistical programming language, such as R or SAS, is required. * 3+ years of experience of relevant experience ...

CYNET SYSTEMS

IT Business Analyst

Indianapolis, IN · On-site

$65.23 - $70.23/hr

Proficiency in SQL, Excel, and at least one statistical programming language (Python/R). Familiarity with healthcare, pharmacy, or claims/dispensing operational data. 1 3 years of work experience in ...

CYNET SYSTEMS

IT Business Analyst

Indianapolis, IN · On-site

$65 - $70/hr

Proficiency in SQL, Excel, and at least one statistical programming language (Python/R). * Familiarity with healthcare, pharmacy, or claims/dispensing operational data. * 1-3 years of work experience ...

Saturn Petcare Inc

R & D Scientist

Terre Haute, IN · On-site

Re-engineer existing products * Ensure that product aesthetics and other physical attributes are ... Language Skills: Ability to read and interpret documents such as safety rules, operating and ...

AllSTEM Connections

IT Business Analyst

Indianapolis, IN · On-site

$122K - $145K/yr

... programming language (Python or R). oFamiliarity with healthcare, pharmacy, claims, or dispensing operational data. • Compliance & Core Competencies: Ability to complete and maintain all required ...

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R Programming Language information

What are the most common challenges faced by R Programmers in a typical work environment?

R Programmers often encounter large and complex datasets that require efficient data cleaning and transformation techniques to ensure accuracy in analyses. Another common challenge is optimizing R code for performance, especially when working with big data or integrating R with other programming languages or systems. Additionally, clear communication of technical findings to non-technical stakeholders can be demanding but is essential for business impact. Being adaptable and willing to continuously learn new packages and tools helps overcome these challenges and adds significant value to the team.

What is an R Programming Language job?

An R Programming Language job involves using R, a statistical computing and graphics programming language, to analyze data, build statistical models, and create visualizations. Professionals in these roles often work in data science, machine learning, finance, healthcare, and academic research. Responsibilities may include writing R scripts, cleaning and processing data, creating reports, and implementing predictive models. Many R developers also integrate R with other tools like SQL, Python, or cloud platforms for data-driven decision-making.

What are the key skills and qualifications needed to thrive in the R Programming Language position, and why are they important?

Excelling in an R Programmer role requires strong proficiency in R programming, data analysis, and statistical modeling, usually supported by a degree in statistics, data science, computer science, or a related field. Familiarity with data visualization tools (such as ggplot2 or Shiny), version control systems (like Git), and relevant certifications such as the Data Science Council of America (DASCA) or equivalent are often valuable. Strong problem-solving abilities, clear communication, and collaboration skills help R Programmers effectively translate data insights to non-technical stakeholders and work efficiently within project teams. These competencies are crucial for delivering accurate, actionable analyses in various industries including finance, healthcare, and research.

What are the most commonly searched types of R Programming Language jobs in Indiana? The most popular types of R Programming Language jobs in Indiana are:
What are popular job titles related to R Programming Language jobs in Indiana? For R Programming Language jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in Indiana look for? The top searched job categories for R Programming Language jobs in Indiana are:
R Programming Language jobs near you
Infographic showing various R Programming Language job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

IT Business Analyst

Globalchannelmanagement

Indianapolis, IN

$69 - $70/hr

Full-time

Posted 7 days ago

Job description

IT Business Analyst requires:

  • Basic Requirements Bachelor's degree in business, marketing, healthcare administration, data science, or a related discipline
  • Proficiency in SQL, Excel, and at least one statistical programming language (Python/R) Familiarity with healthcare, pharmacy, or claims/dispensing operational data
  • 1–3 years of work experience in a HIPAA covered entity Ability to complete and maintain all required data privacy, HIPAA, and covered-entity compliance training, and to handle protected health information (PHI) per established policies
  • Strong analytical skills with attention to detail and business acumen
  • Excellent communication skills with the ability to simplify complex concepts
  • Ability to work cross-functionally and influence without direct authority
  • High learning agility and adaptability in ambiguous environments
  • Working understanding of HIPAA/PHI handling and data-governance constraints, including manufacturer vs. covered-entity data separation

Duties:

  • Execute and Maintain Dispensing & Operational Data Support recreation, validation, and maintenance of operational metrics from platform usage and pharmacy fulfillment data to improve automation, accuracy, and quality
  • Ensure data availability, quality, and compliance across dispensing data workstreams