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R Programming Language Jobs in Philadelphia, PA (NOW HIRING)

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 ...

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Demonstratable proficiency in R and Python coding languages. * Demonstratable experience working with large language models (LLMs). * Able to write/understand a programming language (.Net, C#, Java ...

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... programming language aside Python, like Julia, R Scala, Go, Java, or C++. Education: The candidate should have 5+ years of industry experience in data science and analytics. Graduate degrees in a ...

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R Programming Language information

See Philadelphia, PA salary details

$80.7K

$125.1K

$152.4K

How much do r programming language jobs pay per year?

As of Jul 13, 2026, the average yearly pay for r programming language in Philadelphia, PA is $125,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $140,800.00 per year, depending on experience, location, and employer.

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 Philadelphia, PA? The most popular types of R Programming Language jobs in Philadelphia, PA are:
What are popular job titles related to R Programming Language jobs in Philadelphia, PA? For R Programming Language jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching R Programming Language jobs in Philadelphia, PA look for? The top searched job categories for R Programming Language jobs in Philadelphia, PA are:
Infographic showing various R Programming Language job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $125,126 per year, or $60.2 per hour.

Sr R & SAS Programmer

Atorus Research

Chesterbrook, PA โ€ข On-site

Contractor

Re-posted 25 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.