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Internship R Statistical Programmer Jobs in Massachusetts

Cytel

Senior R Statistical Programmer

Cambridge, MA · On-site +1

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 ...

Rhythm Pharmaceuticals

Statistical Programmer

Boston, MA · On-site

$110K - $165K/yr

Strong hands-on expertise in SAS programming, including Base SAS, SAS/STAT, SAS/GRAPH, SAS/SQL, SAS/ODS, and macro development; experience with R or other modern programming tools is a plus. * Deep ...

LivaNova

Statistical Programmer II

Boston, MA

$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.

Biogen

Analyst, Statistical Programming

Cambridge, MA

$81K - $111K/yr

Serve as the Statistical Programming co-lead for assigned studies and communicate resource needs ... Some familiarity with UNIX as well as software development packages (R, Imaging and Genomics ...

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Internship R Statistical Programmer information

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

What are the key skills and qualifications needed to thrive as an internship R statistical programmer, and why are they important?

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

Which internship is best for statistics students?

The best internship for statistics students, including those interested in statistical programming roles like an Internship R Statistical Programmer, typically involves positions in data analysis, research, or data science that offer hands-on experience with statistical software such as R or SAS. These internships often provide exposure to real-world data projects, improve programming skills, and may require familiarity with statistical methods and data visualization tools. Selecting internships at research institutions, healthcare companies, or tech firms can enhance practical knowledge and improve job prospects in the field.

What does an internship R statistical programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an internship R statistical programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
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Internship R Statistical Programmer jobs near you
Infographic showing various Internship R Statistical Programmer job openings in Massachusetts as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 22% Part Time, 4% Temporary, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior R Statistical Programmer

Cytel

Cambridge, MA • On-site, Remote

Full-time

Posted 19 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

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