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Internship R Statistical Programmer Jobs (NOW HIRING)

Penumbra

Manager, Statistical Programming

... R, Python, Git) and the development of standard operating procedures. Maintain expertise in SAS ... statistical programming activities for clinical studies when appropriate for clinical study data ...

Atorus Research

Sr R & SAS Programmer

Chesterbrook, PA · On-site

Sr SAS & R Programmer onsite in the Chesterbrook, PA area 3 days/week SUMMARY The contract Senior Statistical Programmer is a member of the Biometrics Department within the Research and Development ...

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Strong programming skills in SAS , with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Strong programming skills in SAS , with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and ...

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Internship R Statistical Programmer information

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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.
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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.
Senior SAS/Statistical Programmer

Senior SAS/Statistical Programmer

Wizsolution

Plainsboro, NJ • Remote

Full-time

Re-posted 3 days ago

Job description

Job Description

Company Descriptions:

Wizsolution is located in Princeton NJ, which is a leader in pharmaceutical recruitment and staffing. Our goal is to provide effective solutions for fulfilling your career potential. The mission of our company is to connect high talent and motivated candidates to technical positions from our partner companies.

Job descriptions:

Senior SAS Programmer
Senior Statistical Programmer

*

-Perform SAS data manipulation and analysis programming
-May work with medical writing, clinical operations, and other clinical staff to support deliverables.
-Must work well both independently and with team members.
-Needs to be able to be on-time with deliverables, and for those deliverables to be of quality.
-Works with Statistician and Statistical programmer to assure results are consistent with expectations, and Quality control procedures are followed.
-Plans and carefully documents differences between programming results between program developer and Statistical QC programmer.
-Confirms that tracking sheets are current for projects, and may also confirm that results are consistent with earlier generated results.

·             MS with 3-5 +years of pharmaceutical industry experience.

·             Strong collaboration abilities and ability to work as part of a highly skilled team.

·             Experience in CDISC (SDTM, ADaM data sets)

·             Skilled in analysis of safety, efficacy & biomarker data, with an understanding of multiplicity issues; immunology/CV background a plus.

·             Experienced with standard and advanced statistical methods.

·             Expertise in SAS required, S-Plus or R preferred, including advanced statistical analysis, data integration, graphing & simulation.

·             Strong programming skills.

·             Good understanding of regulatory requirements & clinical trial design.

·             Knowledge of and ability to learn relevant clinical background and biomarker biology and incorporate these into statistical design, analysis & interpretation.

Preferred Qualifications:

Must have 3-5+ years SAS Programmer experience
SAS systems experience may include Base SAS, SAS/FSP,SAS SCL, Macro Facility, SAS/Graph, SAS / ODS, and SAS / Stat within a Windows operating system.

Job Type: Full-time