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How much do junior r statistical programmer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for junior r statistical programmer in the United States is $26.96, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.17 per hour, depending on experience, location, and employer.

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

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What are typical challenges a Junior R Statistical Programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What are Junior R Statistical Programmers?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

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Junior R Statistical Programmer jobs near you
Infographic showing various Junior R Statistical Programmer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 93% Full Time, 5% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.
Senior Statistical Programmer

Senior Statistical Programmer

Redbock - an NES Fircroft company

Manhattan, NY • Remote

$75 - $80/hr

Part-time

Medical, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Location: Remote, with flexibility to accommodate urgent deliverables during PT hours, if needed Pay rate: $75-80/hour W2; $80-88 C2C Summary: Our small Oncology client on the West Coast is seeking a Senior Statistical Programmer to support clinical trial submissions. This role will be responsible for SAS programming for SDTM, ADaM, and TLFs, support ISS/ISE and regulatory submissions (including BIMO), and collaborate closely with statisticians, lead programmers, and external vendors. This consultant will need to be comfortable working in a small‐team environment.

Primary Responsibilities: Develop SAS programs to generate and/or validate SDTM, ADaM & TLFs for analyzing clinical trials, supporting registrations, and creating reports for publications and other ad‐hoc analyses. Develop, validate and maintain macros and tools for general use within the Biometrics group to enhance the efficiency and quality of output produced. Draft and/or review data specifications for SDTM, ADaM & TLFs.

Interact with Lead Programmer & Statisticians on status updates, timelines and content of deliverables. Support ISS and NDA including BIMO (datasets, define, reviewers guide). Collaborate with external vendors on Biometrics' deliverables and provide quality oversight.

Experience Required: 10+ years of experience in statistical programming. Strong SAS programming skills, including expertise with CDISC (SDTM and ADaM) & TLF programming. Must have strong experience integrating ISS/ISE data.

Oncology therapeutic area expertise is required. Regulatory submission experience (NDA/BLA, BIMO). Ability to QC programming work from CROs.

Strong communication skills with the ability to interface at all levels & comfortable communicating workload to assist in managing priorities. Knowledge of R is a plus. Benefits: Medical insurance Vision insurance 401(k) Disability insurance #J-18808-Ljbffr

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