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Internship R Statistical Programmer Jobs (NOW HIRING)

MSD

Senior Statistical Programmer

Rahway, NJ

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

MSD

Senior Statistical Programmer

North Wales, PA

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

KG Tiger

Statistical Programmer

Plymouth Meeting, PA · On-site

... 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 ...

EDETEK

Senior Statistical Programmer

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.

Accord Technologies Inc.

R-Programmer

Jackson, MS · On-site

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 ...

LivaNova

Statistical Programmer II

Phoenix, AZ

$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.

LivaNova

Statistical Programmer II

Boston, MA · 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.

LivaNova

Statistical Programmer II

Atlanta, GA

$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.

LivaNova

Statistical Programmer II

Austin, TX

$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.

LivaNova

Statistical Programmer II

Hapeville, GA · 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.

New

LivaNova

Statistical Programmer II

Dallas, TX

$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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Internship R Statistical Programmer information

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$147.3K

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How much do internship r statistical programmer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for internship 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 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.

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.
More about Internship R Statistical Programmer jobs
What cities are hiring for Internship R Statistical Programmer jobs? Cities with the most Internship R Statistical Programmer job openings:
What are the most commonly searched types of R Statistical Programmer jobs? The most popular types of R Statistical Programmer jobs are:
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Internship R Statistical Programmer jobs near you
Infographic showing various Internship R Statistical Programmer job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Statistical Programmer II

Statistical Programmer II

Ruri Software Technologies LLC

Tampa, FL • On-site

Full-time

Posted 25 days ago

Job description

Role: Statistical Programmer II
Location : Tampa, Florida
Job Duties:
Roles and responsibilities she perfomed as a Statistical Programmer I/ Sas Programmer I from
Sep2019 - Jan2021 Includes the follows:
Provide statistical programming support for the reporting of clinical trial results of Phase 1
and Phase 2
Experience working with systems used within the Clinical Trial process.
Generated program as per STDM standards and Documentation of SAS code, log, Output
and report as per SOP guidelines.
Performed CDISC Mapping for Ongoing clinical trials and classified data into domains.
understanding with CDISC SDTM Implementation Guide v3.1.2/ v3.1.3 and SDTM
Model.
Proficient in generating clinical reports for safety analysis in the form of tables and listings.
Developed reports for safety as per study requirements debugging SAS errors and
identifying issues producing reports or analysis data sets and SAS data sets.
Roles and responsibilities she perfomed as a Statistical Programmer II/ Sas Programmer II from
feb2021 - Dec2022 Includes the follows:
Experienced in Writing statistical programs using SAS and R as per requests from internal
or external clients and reviewing the statistical analysis plan (SAP), SDRG and ADRG.
Handling of multiple Projects of client data to analyze Phase II and Phase III Clinical trials
data in various therapeutic areas like Hematology, endocrinology, Dermatology,
Gastroenterology, Immunology, Neurology and Virology to provide statistical
programming by using SAS tools such as SAS/MACROS, SAS/SQL and R experience for
the reporting of clinical trial results.
Involved in error handling, fixing bugs, and overcoming the challenges faced while
developing the code of specified structure of Tables and listings through creating Macros
and macro variables.
Experienced in data validation and data cleaning and worked understanding with CDISC
SDTM Implementation Guide v3.2/v3.3 and SDTM Model checks (through specifications) on
clinical trial datasets and QC of Statistical/ Programming outputs like Analysis Datasets and
aCRF (Case Report Form).
Experienced in creating reports using proc report and derived data sets (SDTM, CDISC,
ADAM) and Generated Define.xml output for FDA regulatory submissions.
Created efficacy customize reports for FDA regulatory submissions and develop to
maintain SAS programs to create SDTM and Adam datasets and created Tables and
Figures to support clinical trials.
Track clinical trial milestones for statistical programming deliverables.
Ensure compliance with SOPs/Guidelines, ICH-GCP, and any other applicable local and
international regulations, and participate in internal/external audits and regulatory
inspections as required.
Analyzed and validated data sets and SAS outputs with other programmer's outputs and
mockups in SAP using PROC COMPARE, PROC CONTENTS and PROC FREQ. Created
formats for the coded data and used PROC SQL for data validation.

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