ZipRecruiter

Log In

1

R Developer Jobs in Pennsylvania (NOW HIRING)

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

MSD

Senior Statistical Programmer

North Wales, PA · On-site

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs and develops complex programming algorithms * Ability to comprehend analysis plans which may ...

Safran

R&T Software Engineer GNSS Simulation

Bath, PA · On-site

R&T Software Engineer GNSS Simulation Granada, Spain We're looking for a R&T Software Engineer GNSS Simulation to join our R&T team in Granada, Spain and provide direct technical support in the ...

Safran

R&T Software Engineer - GNSS Simulation

Bath, PA · Hybrid

R&T Software Engineer - GNSS Simulation Granada, Spain We're looking for a R&T Software Engineer- GNSS Simulation to join our R&T team in Granada, Spain and provide direct technical support in the ...

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of ...

next page

Showing results 1-20

All JobsR Developer JobsR Developer Jobs in Pennsylvania

R Developer information

See Pennsylvania salary details

$13

$49

$89

How much do r developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for r developer in Pennsylvania is $49.45, according to ZipRecruiter salary data. Most workers in this role earn between $26.49 and $67.45 per hour, depending on experience, location, and employer.

What tech jobs pay $400,000 a year?

For R Developers, earning $400,000 annually typically requires senior-level experience, expertise in high-demand areas like data science or machine learning, and often working in finance, tech, or consulting industries. Such compensation may include base salary, bonuses, and stock options, especially in large companies or startups with significant funding.

Is there demand for R programming?

R developer roles are in demand across industries such as finance, healthcare, and data science due to the language's strengths in statistical analysis and data visualization. Employers seek professionals skilled in data manipulation, statistical modeling, and tools like RStudio, with demand expected to grow as data-driven decision-making increases.

What is an R Developer?

An R Developer is a professional who specializes in using the R programming language for statistical analysis, data visualization, and developing data-driven applications. R Developers often work in fields like data science, bioinformatics, finance, and research to process and interpret complex data. Their responsibilities include writing efficient R code, building data models, creating visualizations, and sometimes integrating R with other tools or databases. Strong knowledge of R packages such as dplyr, ggplot2, and Shiny is typically required. R Developers may also collaborate with analysts, data engineers, and other stakeholders to deliver insights and solutions.

How does an R Developer typically collaborate with data scientists and other stakeholders in a project?

R Developers frequently work closely with data scientists, analysts, and business stakeholders to translate analytical requirements into efficient, reliable code. They often participate in team meetings to clarify project goals, review data models, and ensure that the statistical methods used align with business objectives. Regular communication and code reviews are common, as is the sharing of reproducible scripts and documentation to facilitate collaboration. This team-oriented environment helps ensure that analytical solutions are both technically sound and actionable for decision-makers.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and data visualization in 2026. R developers are in demand in industries such as healthcare, finance, and research, often requiring knowledge of packages like ggplot2 and dplyr. Proficiency in R continues to be valuable for data scientists and analysts working with large datasets and complex statistical models.

What Is an R Developer?

An R developer is a software developer that specializes in the free software environment and programming language know as R. As an R developer, your responsibilities revolve around writing code for data analysis, statistical computing, and modeling. Qualifications are not universal for this career, but you likely need at least an associate degree in computer science. Since there is no formal certification for the R language, you should develop a strong portfolio to showcase your skills. Experience with statistics is also essential for this role. You can find work as an R developer in a variety of industries, but finance is one of the most common.

What jobs pay $500,000 a year in the US?

In the US, high-paying roles such as senior software engineers, data scientists, and specialized R developers with extensive experience and advanced skills can earn $500,000 or more annually, especially in finance, technology, or consulting industries. These positions often require advanced certifications, leadership responsibilities, or working in high-demand environments with significant project impact.

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

To thrive as an R Developer, you need strong programming skills in R, a background in statistics or data analysis, and typically a degree in computer science, mathematics, or a related field. Familiarity with R packages (like tidyverse, Shiny, and ggplot2), version control systems (such as Git), and experience with databases or cloud platforms are often required. Attention to detail, problem-solving abilities, and clear communication help R Developers translate complex data into actionable insights. These skills are crucial for delivering accurate analyses, building robust data solutions, and collaborating effectively within data-driven teams.

What is the difference between R Developer vs Data Analyst?

AspectR DeveloperData Analyst
Primary RoleDevelops and maintains data analysis tools and scripts using RAnalyzes data to generate reports and insights using various tools, including R
Skills & CertificationsProficiency in R programming, data manipulation, statistical analysisData visualization, statistical analysis, proficiency in Excel, SQL, R
Work EnvironmentData science teams, software development projects, tech companiesBusiness units, marketing, finance, consulting firms
Industry UsageUsed in data science, analytics, and software developmentUsed in business intelligence, reporting, and decision-making

While both R Developers and Data Analysts work with data and R programming, R Developers focus on creating data tools and software, whereas Data Analysts primarily interpret data to provide insights. The roles often overlap, but their core responsibilities differ based on technical development versus data interpretation.

More about R Developer jobs
What are popular job titles related to R Developer jobs in Pennsylvania? For R Developer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching R Developer jobs in Pennsylvania look for? The top searched job categories for R Developer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for R Developer jobs? Cities in Pennsylvania with the most R Developer job openings:
What are popular job titles related to R Developer jobs in PA? For R Developer jobs in PA, the most frequently searched job titles are:
R Developer jobs near you
Infographic showing various R Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 77% Full Time, 10% Part Time, 2% Temporary, 10% Contract, and 1% Nights. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $102,854 per year, or $49.4 per hour.

Sr R & SAS Programmer

Atorus Research

Chesterbrook, PA • On-site

Contractor

Posted 8 days ago

Job description

Sr SAS & R Programmer
onsite in the Chesterbrook, PA area 3 days/week
SUMMARY
The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development (R&D) organization who supports Statistical programming work in accordance with corporate standard operating procedures (SOPs), GCP, 21 CFR and ICH guidance.
RESPONSIBILITIES
Program and validate derived datasets, tables, figures, listings. Process data from the external sources.
Perform ad hoc exploratory analyses for publications and programming support other functions of Research and Development or other organizations.
Oversee programing work/deliverables from CROs.
Contribute to the design/implementation/review of Case Report Form, Data Transfer Specification, Statistical Analysis Plan, SDTM/ADaM Specification documents, Define packages.
Program and validate CDISC compliant deliveries for the electronic submissions.
Support in the creation of supporting documentation for submissions.
Ensure programming deliverables are on time and of high quality.
Help managing internal contractors and external vendors.
Participate in development of departmental working instructions and guidelines.
Help in creation of enhanced functions/macros and utilities.
REQUIREMENTS
Bachelor or Master degree in Computer Science, Mathematics, Engineering, Medical or related discipline.
BS with more than 5 or MS with 3 years of experience in statistical programming (SAS, R) in the pharmaceutical industry.
Working knowledge of SAS and its various components.
Knowledge of R programming in clinical trials
Familiarity of the drug development process.
Knowledge of CDISC standards and electronic submission requirements.
Strong SAS and SAS Macro language skills.
R programming skills in clinical trials
Strong knowledge of industry standards.
Ability to work on data integrations (ISS and ISE).
Strong oral and written communication skills. Ability to communicate details of the analysis to other team members with less technical experience.
Ability to manage the timeline well and work in multi-project environment.

Apply