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R Programmer Jobs in Princeton, NJ (NOW HIRING)

Knowledge of R programming (R Shiny/Python). Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex ...

Knowledge of R programming (R Shiny/Python). Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex ...

... engineers, mixers, mastering engineers, and internal teams. * Coordinate recording sessions ... A&R activities. * Partner cross-functionally with Marketing, Creative, Digital, Production ...

... engineers, mixers, mastering engineers, and internal teams. * Coordinate recording sessions ... A&R activities. * Partner cross-functionally with Marketing, Creative, Digital, Production ...

Controls Engineer

Langhorne, PA · On-site

$78K - $101K/yr

GENERAL R-V Industries & subsidiaries is a design and build manufacturer of custom industrial process equipment. We engineer to order, as well as build to print, a wide variety of specialty equipment.

Controls Engineer

Langhorne, PA · On-site

$85 - $110/hr

... R-V Industries & subsidiaries is a design and build manufacturer of custom industrial process equipment. We engineer to order, as well as build to print, a wide variety of specialty equipment. Most ...

Showing results 21-40

R Programmer information

See Princeton, NJ salary details

$84.6K

$131.1K

$159.7K

How much do r programmer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for r programmer in Princeton, NJ is $131,124.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,600.00 and $147,500.00 per year, depending on experience, location, and employer.

What is an R programmer?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

What does an R programmer do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

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

To thrive as an R Programmer, you need strong programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.

What are some common challenges R programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are popular job titles related to R Programmer jobs in Princeton, NJ?

For R Programmer jobs in Princeton, NJ, the most frequently searched job titles are:

What cities near Princeton, NJ are hiring for R Programmer jobs?

Cities near Princeton, NJ with the most R Programmer job openings:

Infographic showing various R Programmer job openings in Princeton, NJ as of August 2026, with employment types broken down into 75% Full Time, 15% Part Time, and 10% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $131,124 per year, or $63 per hour.

Senior Statistical Analyst

2T Consulting

Staten Island, NY

Full-time

Posted 20 days ago


Job description

We are seeking a Senior Statistical Analyst with strong expertise in SAS and R programming, CDISC standards, and clinical trial data analysis. The ideal candidate will collaborate with statisticians and cross-functional teams to develop ADaM datasets, generate TLFs, support regulatory submissions, and ensure high-quality statistical programming deliverables for clinical studies.

Primary Responsibilities

*Collaborate with statisticians to develop and implement Statistical Programming Plans (SPPs) and Statistical Analysis Plans (SAPs).
*Program, validate, and maintain ADaM datasets, statistical analyses, and programming deliverables using SAS and R.
*Generate and validate Tables, Listings, and Figures (TLFs) for clinical study reports, safety reports, and regulatory submissions.
*Create and maintain programming documentation, including specifications, annotated code, validation plans, and programming guidelines.
*Perform quality control and validation of statistical programming outputs to ensure compliance with CDISC standards and regulatory requirements.
*Support ad hoc statistical analyses, exploratory data analyses, and data visualization requests.
*Develop and maintain reusable programming macros, utilities, and automation tools to improve efficiency and consistency.
*Provide programming support during regulatory submissions, audits, and inspections.
*Collaborate with study teams to resolve programming and data-related issues while ensuring timely project delivery.
*Identify project risks, escalate issues when necessary, and provide regular status updates.
*Mentor and train junior programmers and contribute to continuous process improvement initiatives.
*Stay current with industry best practices, regulatory guidelines, and advancements in statistical programming.

Required Skills & Qualifications

*Strong proficiency in SAS and R programming for clinical trial data analysis.
*Experience programming and validating ADaM datasets, TLFs, and statistical analyses.
*Advanced knowledge of CDISC standards, including ADaM and SDTM.
*Solid understanding of clinical trial processes, statistical methodologies, and regulatory requirements.
*Experience in therapeutic areas such as Oncology, Immunology, Neuroscience, or other clinical domains.
*Strong analytical, troubleshooting, and problem-solving skills.
*Excellent attention to detail with a strong focus on quality and compliance.
*Effective written and verbal communication skills.
*Ability to collaborate with statisticians, clinical study teams, and external stakeholders.
*Proven ability to manage multiple priorities and meet project deadlines in a fast-paced environment.

Preferred Qualifications

*Experience supporting global clinical trials and regulatory submissions.
*Knowledge of clinical data visualization and exploratory data analysis.
*Experience developing standardized SAS macros and programming utilities.
*Prior experience mentoring or leading statistical programming teams.
*Familiarity with FDA, EMA, and ICH regulatory guidelines for clinical data submissions.