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Biostatistics R Programmer Jobs (NOW HIRING)

The Biostatistics Core at Geisinger collaborates closely with researchers across the health system ... Experienced SAS or R programmer for both data manipulation and statistical analysis. * Detail ...

The Biostatistics Core at Geisinger collaborates closely with researchers across the health system ... Experienced SAS or R programmer for both data manipulation and statistical analysis. * Detail ...

Serve as the biostatistics lead for one or more studies within a project team, offering expertise ... Proficient in statistical programming languages and software, such as SAS and R, with the ability ...

Biostatistics Manager What you will do Let's do this. Let's change the world. In this vital role ... R programming * Publishing applied research in scientific journals and books, and give ...

Biostatistics and Data Sciences). • Write clean, efficient and maintainable import/export data ... in R and SAS and/or Stata. • 2+ years of experience with SQL database queries and programming ...

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

Experience working with other groups involved in clinical research, such as Statistical Programmers ... Computational skills using R, and/or SAS, especially relevant statistical tools and packages.

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

Experience working with other groups involved in clinical research, such as Statistical Programmers ... Computational skills using R, and/or SAS, especially relevant statistical tools and packages.

Experience working with other groups involved in clinical research, such as Statistical Programmers ... Computational skills using R, and/or SAS, especially relevant statistical tools and packages.

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Biostatistics R Programmer information

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How much do biostatistics r programmer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for biostatistics r programmer in the United States is $39.54, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $51.44 per hour, depending on experience, location, and employer.

How does a Biostatistics R Programmer typically collaborate with clinical research teams during a study?

A Biostatistics R Programmer works closely with clinical research teams by translating study protocols into statistical analysis plans, developing and validating R scripts to process and analyze clinical trial data, and presenting results in an accessible format. Regular collaboration with biostatisticians, data managers, and clinical scientists is essential to ensure accuracy and compliance with regulatory standards. Communication skills are important, as programmers often explain complex statistical outcomes to non-technical stakeholders and make recommendations based on data findings.

What are the key skills and qualifications needed to thrive as a Biostatistics R Programmer, and why are they important?

To thrive as a Biostatistics R Programmer, you need a strong background in statistics, data analysis, and programming with a relevant degree such as statistics, biostatistics, or a related field. Proficiency in R programming, statistical software (like SAS or Python), and experience with clinical trial data or healthcare datasets are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help convey complex analyses to interdisciplinary teams. These skills are crucial to ensure accurate data interpretation and support evidence-based decision-making in biomedical research.

What is the difference between Biostatistics R Programmer vs Biostatistician?

AspectBiostatistics R ProgrammerBiostatistician
CredentialsBachelor's or Master's in Biostatistics, Statistics, or related fieldMaster's or PhD in Biostatistics or Statistics
Work EnvironmentClinical trials, research organizations, pharmaceutical companiesResearch institutions, healthcare, academia, industry
Job FocusData analysis, programming in R, preparing datasets, generating reportsStudy design, statistical analysis, interpretation, reporting

While both roles involve statistical analysis and R programming, Biostatistics R Programmers primarily focus on data management and programming tasks, whereas Biostatisticians are involved in study design, statistical modeling, and interpretation. The Biostatistician role typically requires advanced degrees and broader responsibilities in research planning and analysis.

What are Biostatistics R Programmers?

Biostatistics R Programmers are professionals who use the R programming language to analyze and interpret data in the field of biostatistics, often supporting medical or health research. They collaborate with biostatisticians and researchers to write code, manage data, and generate statistical reports. Their work helps ensure that complex statistical methods are accurately implemented and that research findings are reliable and reproducible.
Infographic showing various Biostatistics R Programmer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 12% Full Time, and 85% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $82,234 per year, or $39.5 per hour.
Principal Data Scientist Consultant- R programmer (Remote)

Principal Data Scientist Consultant- R programmer (Remote)

ClinChoice

Remote

Full-time

Posted 3 days ago


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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