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

As of Jul 14, 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 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 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.

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 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.
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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 July 2026, with employment types broken down into 67% Full Time, 22% Part Time, and 11% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $56,068 per year, or $27 per hour.
Associate Director, Statistical Programming

Associate Director, Statistical Programming

Beam Therapeutics

Cambridge, MA • Hybrid

Other

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

Job description

Position Overview:

Beam is looking for a highly talented and motivated Associate Director, Statistical Programming, to join our growing Statistical Programming team in the Biometrics department. The senior manager will be responsible for developing and maintaining statistical programming functions within a therapeutic area to support various clinical studies and submissions to ensure successful execution for Beam's clinical programs. In this role, you will work with the lead of statistical programming to develop statistical programming strategies and timelines. You will manage CROs, oversee programming activities and provide timely support to the cross-functional teams on statistical programming matters according to the project strategies and requests.

Responsibilities:

  • Participates in statistical programming activities on clinical studies and oversees CROs to generate analysis data sets and tables, listings and figures needed for clinical study reports and regulatory submissions.
  • Reviews and validates SDTM, ADaM analysis datasets and TFLs created by CROs.
  • Works collaboratively and communicates effectively with Biostatistics, Data Management, clinical operations, clinical development, Regulatory and other functions.
  • Manages creating CDSIC SDTM and ADaM datasets, analysis metadata results and Define.xml for Electronic Submission from the clinical database or external data sources.
  • Manages the activities of data summary, statistical analysis, patient profile, safety and efficacy tables, listings and figures using Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/SQL, SAS/ODS and R.
  • Participates and manages the workflow of generating study specific and ad-hoc clinical data listings, summary tables and figures.
  • Partners with Statisticians and other members of the clinical study team, performs ad hoc analysis.
  • Reviews SAP, DMP, CRF, annotated CRF, table shells and other relevant documents by CROs and provides expert feedback from functional perspective.
  • Develops SAS programming infrastructure and programming processes improve data deliverables and ad hoc analyses quality and efficiency.
  • Builds and mentors a team of programmers as needed to support Beam clinical trials and development pipelines.

Qualifications:

  • MS or higher degree in Statistics, Mathematics, or related scientific Discipline.
  • At least 10 years Pharmaceutical/Biotech programming experience.
  • Advanced SAS programming skills and strong Statistical background along with experience with SAS Base, SAS/Macros, SAS/Graph and SAS/Stat.
  • Experience and in-depth knowledge in CDISC including STDM, ADaM and controlled terminologies.
  • NDA or BLA submission experience is required.
  • Excellent organizational skills and ability to prioritize tasks.
  • Excellent communication and interpersonal skills.
  • Experience managing CROs and other data vendors.
  • Knowledge of ICH guidelines, Good Clinical Practices, FDA / EMA / other regulatory authority guidance.
  • Experience with R-Shiny is a plus.
  • #LI-Hybrid

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