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R Statistical Programmer Jobs (NOW HIRING)

The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data ...

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs ... Implements statistical methods not currently available through commercial software packages

Significant SAS or R programming experience for data manipulation, analysis and reporting * Designs ... Implements statistical methods not currently available through commercial software packages

... 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 ...

The ideal candidate will have a strong background in programming languages such as SAS and R, as ... Perform data manipulation and statistical analyses using appropriate programming techniques.

The contractor must have hands-on R programming knowledge; statistical background and understanding * Ability to build and deliver robust statistical models * Deliver high-quality documentation and ...

Statistical Programmer II

Hapeville, GA ยท On-site

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Experience with R, Python, SQL, Git, or other modern programming/version control tools.

The statistical programming team develops datasets from our clinical trials and delivers tables ... Experience with R, Python, SQL, Git, or other modern programming/version control tools.

Statistical Programmer II

Dallas, TX ยท On-site

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Experience with R, Python, SQL, Git, or other modern programming/version control tools.

The statistical programming team develops datasets from our clinical trials and delivers tables ... Experience with R, Python, SQL, Git, or other modern programming/version control tools.

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R Statistical Programmer information

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$84.5K

$147.3K

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How much do r statistical programmer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for r statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is an R Statistical Programmer job?

An R Statistical Programmer is responsible for writing and optimizing code in R to analyze and manage statistical data, often in industries like pharmaceuticals, finance, or research. They develop data visualizations, automate reports, and ensure data integrity for decision-making. Many work closely with statisticians and data scientists to implement models and validate results. Strong knowledge of statistical methods, data manipulation, and regulatory requirements (in certain industries) is often required.

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

To thrive as an R Statistical Programmer, you need a strong foundation in statistics, programming in R, and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, database management systems (such as SQL), and industry-relevant certifications like SAS or R programming credentials are highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These capabilities ensure accurate data-driven insights, efficient workflow, and effective collaboration within multidisciplinary project teams.

What does a typical day look like for an R Statistical Programmer?

A typical day for an R Statistical Programmer often involves writing and optimizing R scripts to analyze datasets, creating data visualizations, and collaborating with data scientists, statisticians, or project managers to deliver actionable insights. You might spend time cleaning and preparing raw data, performing statistical modeling, and documenting your methods to ensure reproducibility. Communication is key, as you'll regularly present your findings to both technical and non-technical stakeholders. Depending on the industry, you may work independently or as part of a team in academic, healthcare, finance, or technology environments.

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Senior R Statistical Programmer

Senior R Statistical Programmer

Cytel

Cambridge, MA โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description


The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions.
Responsibilities
  • Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency
  • Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
  • Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
  • Partners with study teams in use and further improvement of processes and tools
  • Facilitates change management activities and training for department systems and processes

Qualifications
  • Minimum 5 years' industry experience (Pharma, Biotech, CRO)
  • Experience with R within regulated clinical development environments
  • Strong R data manipulation and analysis skills using standard tidyverse packages
  • Strong R visualization skills for use in static outputs and dashboards
  • Experience with developing R packages including proper documentation and testing
  • Experience developing SAS code including SAS/MACRO preferred
  • Familiarity with Posit products including Workbench, Positron, and Connect
  • High attention to detail including proven ability to manage multiple, competing priorities
  • Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials' data
  • Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners