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R Developer Jobs in New York (NOW HIRING)

2T Consulting

Senior Statistical Analyst

Hoboken, NJ

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 ...

2T Consulting

Senior Statistical Analyst

Arverne, NY

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 ...

2T Consulting

Senior Statistical Analyst

Orange, NJ

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 ...

2T Consulting

Senior Statistical Analyst

Bronx, NY

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 ...

2T Consulting

Senior Statistical Analyst

Bogota, NJ

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 ...

2T Consulting

Senior Statistical Analyst

Pelham, NY

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 ...

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R Developer information

See New York salary details

$15

$53

$97

How much do r developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for r developer in New York is $53.97, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $73.65 per hour, depending on experience, location, and employer.

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.

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 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.

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R Developer jobs near you
Infographic showing various R Developer job openings in New York as of August 2026, with employment types broken down into 58% Full Time, 21% Part Time, 3% Temporary, and 18% Contract. Highlights an 100% In-person job distribution, with an average salary of $112,256 per year, or $54 per hour.

Senior Statistical Analyst

2T Consulting

Hoboken, NJ

Full-time

Posted 8 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.

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