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R Statistics Jobs (NOW HIRING)

IQVIA

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating clear and informative graphs ...

Apple

NAND Q&R Engineer

Cupertino, CA · On-site

As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by ... You'll integrate statistical insight with hardware quality and reliability data to optimize flash ...

IQVIA

Principal R Programmer

Durham, NC

$98K - $273K/yr

Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating clear and informative graphs ...

Apple

NAND Q&R Engineer

Cupertino, CA · On-site

As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by ... You'll integrate statistical insight with hardware quality and reliability data to optimize flash ...

IQVIA, Inc.

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Writing R or Rmarkdown code to perform descriptive analysis of PK/PD data and statistical analysis of exposure-response relationships. * Data visualization: * Creating clear and informative graphs ...

BWX Technologies, Inc.

Statistician

Lynchburg, VA

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

BWXT

Statistician

Lynchburg, VA

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

Luminate Works

Statistician

$70K - $80K/yr

Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related ... Proficiency in statistical or programming tools such as Python, R, SQL, or similar * Experience ...

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How much do r statistics jobs pay per year?

As of Jun 20, 2026, the average yearly pay for r statistics in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What types of projects or data sets might I work with as an R Statistics professional?

As an R Statistics professional, you may work with a wide range of projects and data sets, including customer behavior analytics, health outcomes research, financial modeling, or experimental and survey data. Your daily responsibilities could include cleaning and transforming raw data, developing predictive models, running statistical tests, and generating reports or visualizations to share findings with clients or internal teams. Project scopes often depend on the industry, but collaboration with data engineers, business analysts, and subject matter experts is common to ensure analyses address real-world business challenges. Working with diverse data sets sharpens your ability to adapt your analytical approach and broadens your domain expertise, supporting continuous career development.

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

To thrive as an R Statistics professional, you need a solid understanding of statistical methods, data analysis, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools like RStudio, database management systems, and relevant data visualization libraries is highly beneficial, and certifications such as R programming certifications or data analytics courses can enhance employability. Critical thinking, problem-solving, and strong communication skills are essential for interpreting complex data and conveying insights to diverse stakeholders. These skills enable you to derive actionable conclusions from data, support business decision-making, and ensure robust, reproducible analysis processes.

What is an R Statistics job?

An R Statistics job involves using the R programming language for data analysis, statistical modeling, and visualization. Professionals in this role work with datasets to derive insights, create reports, and develop predictive models. Common industries include healthcare, finance, academia, and technology. Key skills include proficiency in R, data manipulation, statistical techniques, and knowledge of machine learning or data science concepts.

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R Statistics jobs near you
Infographic showing various R Statistics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Principal Data Scientist Consultant- R programmer (Remote)

Principal Data Scientist Consultant- R programmer (Remote)

ClinChoice

Remote

Full-time

Posted yesterday

Job description

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it's the best of both worlds...
ClinChoice is searching for a Principal Clinical Data Scientist Consultant - R Programmer to join one of our clients.
We are seeking a Clinical R programmer / Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates.
Key Responsibilities
  • Develop, validate, and maintain SDTM and ADaM datasets in R - using admiral and the broader pharmaverse - following CDISC standards.
  • Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs.
  • Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness.
  • Write efficient, reproducible, well-structured R code for clinical data analysis and reporting.
  • Contribute to open-source and internal tooling - including R Shiny / teal modules, R packages, SAS macros, and Python utilities - used by clinical programming, data management, and biostatistics teams.
  • Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables.
  • Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA).
  • Support automation, pipeline development, and version-controlled workflows.
  • Use SAS for legacy studies or where SAS support is needed.
Required Qualifications
  • Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
  • 5+ years in clinical programming, with a strong focus on R.
  • Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral.
  • Experience with Pinnacle21 validation and remediation.
  • Working knowledge of SAS programming.
  • Working knowledge of Python for analytics, scripting, or tooling.
  • Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming.
  • Experience with clinical trial data, regulatory submissions, and QC processes.
  • Strong analytical, problem-solving, and documentation skills.
Preferred Qualifications
  • Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency.
  • Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams.
  • Exposure to AI/ML tooling in a clinical or programming context.
  • Real-World Evidence (RWE) experience - e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures.
  • R Markdown, Quarto, or other reproducible reporting workflows.
  • GxP validation, Git-based version control, and CI/CD or automated workflows.
  • CRO or pharmaceutical industry experience.

The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
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