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R Statistical Programmer Jobs (NOW HIRING)

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.

Statistical Programmer II

Santa Monica, CA ยท On-site

$107K - $138K/yr

Extensive experience with statistical programming using the SAS and R software including development and use of SAS Macros, R Packages. * Experience with development of CDISC standardized ADaM ...

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 ...

Apply Early

... 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 ...

Statistical Programmer II

Minneapolis, MN 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.

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R Statistical Programmer information

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$84.5K

$147.3K

$249K

How much do r statistical programmer jobs pay per year?

As of Jun 30, 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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What cities are hiring for R Statistical Programmer jobs? Cities with the most R Statistical Programmer job openings:
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Infographic showing various R Statistical Programmer job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Statistical Programmer

Other

Posted 13 days ago


Job description

Statistical Programming Consultant

Requirements:

  • B.Sc., M.Sc., or equivalent education in Biostatistics/Statistics, Bioinformatics, Life Sciences, Mathematics, Physical Sciences, or related fields
  • Advanced SAS macro programming experience is required for the development of global tools that will increase the efficiency and capacity of the Statistical Programming group
  • At least 6 years of Clinical trials related work experience in SAS programming, analysis and reporting in the context of drug development projects is required
  • Well experienced in Pinnacle21 validation process, generating define xml using Pinnacle 21
  • Extensive experience in implementing CDISC standards, as well as annotating CRFs, creating specifications for SDTM and ADaM datasets
  • Experienced in creating Define.xml and the corresponding Reviewers' Guide for SDTM and ADaM datasets
  • Good verbal and written communications skills in English
  • Demonstrated knowledge of clinical drug development
  • Proficiency in conducting advanced statistical analyses
  • Must be independent, attention to detail, accountable to quality and timely delivery
  • Ability to work on multiple collaborative projects, team player mentality

Responsibilities :

  • As a Statistical Programming Consultant, you will use your SAS and R programming skills to prepare SDTM and ADaM datasets, Tables, Listings, & Figures (TLFs), as well as create related documents such as aCRF, programming specifications, and define packages (including reviewer's guides) for Phase 1 to Phase 4 clinical trials
  • In addition, you will conduct quality control and quality assurance activities on datasets and outputs and may participate in company initiatives to improve the efficiency of end-to-end statistical programming activities, analysis, and reporting (IT, methodology, automation, quality)
  • You will work closely in teams led by statistical programmers, statisticians, and drug development consultants, supporting a variety of client projects across various therapeutic areas and complexities

Katalyst Healthcares & Life Sciences logo

About Katalyst Healthcares & Life Sciences

Sourced by ZipRecruiter

Katalyst HealthCares & Life Sciences is a Global Contract Research Organization that provides services in Clinical Research, Manufacturing & Quaity, Regulatory Affairs Areas.. Industries Serving: Pharmaceutical Bio-Pharmaceutical Medical Device Cosmeceuticals & Cosmetics Food & Beverage Clinical Research Scientific Areas Covering: Clinical Research Manufacturing Quality & Validations Regulatory Affairs Intellectual Property Through our in-house team expertise, associates and alliances in the US, Europe and Asia, we can rapidly deliver services, technology, processes and workforce globally, either virtually or integrate into client project space, providing oversight and expertise for individual needs to total end-to-end support for all kinds of clinical trials of Pharma, Biotech, Medical Device and all other scientific products and their manufacturing.

Industry

Scientific research and development services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

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