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Internship R Statistical Programmer Jobs (NOW HIRING)

Expertise in SAS programming, with proficiency in additional statistical software such as R or S-Plus.In-depth knowledge of CDISC standards, including SDTM, ADaM, and controlled terminologies.Strong ...

Senior Statistical Programmer

Irvine, CA ยท On-site

$75 - $98.48/hr

R * Provide hands on statistical programming support for clinical studies, including development and validation of analysis datasets and statistical outputs, in accordance with regulatory and company ...

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.

... 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

$107.19K - $138.71K/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 ...

OR

$107.19K - $138.71K/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 ...

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Internship R Statistical Programmer information

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$84.5K

$147.3K

$249K

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

As of Jun 3, 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 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 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.

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 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.

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:
What states have the most Internship R Statistical Programmer jobs? States with the most job openings for Internship R Statistical Programmer jobs include:
What job categories do people searching Internship R Statistical Programmer jobs look for? The top searched job categories for Internship R Statistical Programmer jobs are:
Infographic showing various Internship R Statistical Programmer job openings in the United States as of May 2026, with employment types broken down into 56% Full Time, 43% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Statistical Programmer

Digital Prospectors

Denver, CO โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 21 days ago


Job description

Direct message the job poster from Digital ProspectorsPrincipal Recruiter at Digital ProspectorsPosition: Statistical ProgrammerLength: 10+ months*W2 Candidates Only, No C2CJob Description:Our client is seeking a skilled Statistical Programmer to join their team. In this role, you will provide programming support for Phase 1 through Phase 3 clinical trials, focusing on disease monitoring and project integration. As a key member of the Biometrics team, you will work collaboratively across multiple projects and therapeutic areas, ensuring the timely delivery of statistical data and analysis.

This position offers the flexibility of remote work, with the chance to contribute to cutting-edge research in a dynamic and evolving environment.Essential Duties and Responsibilities (but not limited to):Lead programming efforts for various clinical studies, from Phase 1 to Phase 3, across multiple therapeutic areas.Develop and review annotated Case Report Forms (CRFs) and SDTM datasets, ensuring accurate data representation.Program SDTM, ADaM, and TLFs, and write detailed dataset specifications.Perform quality control on datasets and tables, ensuring compliance with project requirements.Work closely with Clinical Operations, Clinical Data Management, Drug Safety, Regulatory Affairs, and Project Management teams to ensure the timely and accurate delivery of statistical programming work.Provide technical input on documentation produced by other functions, including biostatisticians, medical writers, and data managers.Ensure clear and effective communication regarding project progress, timelines, and any issues that may impact deliverables.Contribute to process improvement initiatives aimed at enhancing efficiency and quality in statistical programming.Identify new tools and technologies to optimize the programming workflow and improve deliverable quality.Serve as a mentor and role model, setting high expectations for quality, creativity, and ownership across projects.Manage competing priorities and foster a collaborative work environment to support project success.Qualifications:Master's degree in Statistics, Computer Science, Mathematics, Engineering, or a related field.1-5 years of experience in clinical trial programming within the biotechnology, pharmaceutical, or healthcare industry.Expertise in SAS programming, with proficiency in additional statistical software such as R or S-Plus.In-depth knowledge of CDISC standards, including SDTM, ADaM, and controlled terminologies.Strong organizational skills and the ability to prioritize and manage multiple tasks efficiently.Self-motivated, technically proficient, and able to work independently while maintaining a strategic perspective on statistical programming processes.Experience working with cross-functional teams to ensure project alignment and timely execution.Knowledge of process improvement strategies within statistical programming is a plus.POST-OFFER BACKGROUND CHECK IS REQUIRED. Digital Prospectors is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law. Digital Prospectors affirms the right of all individuals to equal opportunity and prohibits any form of discrimination or harassment.Make this your next career move as one of our many long-term contractors or employees!Work as our full-time employee with full benefits (Medical, Dental, Vision, Life, STD, LTD, PTO, etc.) - OR - work as a W2 hourly contractor at a higher pay rate if you don't need the benefit package.Come see why DPC has achieved:4.9/5 Star Glassdoor rating and the only staffing company (Voted 'Best Staffing Firm to Temp/Contract For' seven times by Staffing Industry Analysts as well as a 'Best Company to Work For' by Forbes, Fortune and Inc.

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