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Junior R Statistical Programmer Jobs (NOW HIRING)

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.

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.

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.

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.

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

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.

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.

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.

Statistical Programmer II

Atlanta, 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.

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.

As a Senior Statistical Programmer, you'll have the opportunity to design and write program ... Provide mentorship and training to peers and more junior programmers in areas of expertise * Ensure ...

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Junior R Statistical Programmer information

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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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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.
Statistical Programmer - MPC

Statistical Programmer - MPC

University of Minnesota

Minneapolis, MN • Hybrid

$63K - $78K/mo

Full-time

Re-posted 10 days ago


Job description

About the Job
 

APPLICATION DEADLINE: JUNE 29, 2026

The Minnesota Population Center (MPC) is seeking a Statistical Programmer to oversee the implementation of sophisticated regression analyses for all aims of two federal grants. The Statistical Programmer will collaborate on a recently funded National Institutes of Health (NIH) study focused on the influence of housing policy and neighborhood environment on health, including fertility, infant, maternal health and mortality, among families across generations. This position will work closely with the projects Principal Investigator, scientific team, and staff. This position will also collaborate with student research assistants and postdoctoral associates.


Data for these projects is accessed through the Federal Statistical Research Data Center (FSRDC), which requires the selected candidate to either already have or be willing and able to obtain Special Sworn Status. The FSRDC is located on the University of Minnesota Twin Cities campus, and the selected candidate will be required to work on campus 4 days a week. You will love this job if you:

  • Love working with complex data structures
  • Enjoy working in R and writing clean, sophisticated code to test complex research hypotheses and perform advanced analytic modeling.
  • Can pivot smoothly from hours of solo coding to managing meeting agendas and tracking project milestones.
  • Are a proactive driver capable of keeping teams focused and accountable.

RESPONSIBILITIES 
 

85% - Programming and Statistical Analysis

  • Write, implement, and document statistical code to test hypotheses.
  • Perform variable coding and transformation of variables.
  • Develop and execute code for various analytic models, including:
    • Multilevel Regression Models
    • Longitudinal Regression Models
    • Mediation Models
    • Regression models adjusted for weights, complex designs, attrition, clustering
  • Collaborate with the team statistician and other team members on model specification and execution.
  • Produce requested statistical output and interpret/summarize the results.
  • Create tables and figures to illustrate analytic results.
  • Implement missing data and attrition imputation techniques.
  • Construct complex data structures, such as residential histories.
  • Implement post-estimation commands to produce visuals and predicted estimates.


10% - Project Management 

  • Organize code and files, and conduct code review for team members in the restricted environment.
  • Ensure execution of the data-use contract to maintain data confidentiality.
  • Submit and maintain IRB agreements and related documentation.
  • Organize and maintain FSRDC agreements and Special Sworn Status training documentation and reminders for all study members.
  • Prepare files and documentation for the disclosure of results from the FSRDC.
  • Organize and assist with writing progress reports.
  • Assist with non-programming research activities, including background literature reviews.
  • Manage and coordinate project meetings: scheduling, organizing agendas, tracking attendance, and documenting next steps.
  • Assist with organizing project and team files, and referencing software.


5% - File Management, Disclosure, and Documentation

  • Organize and manage analytic files and associated documentation.
  • Track the analyses
  • Merge and integrate diverse datasets for analytic use.
  • Execute data transfer procedures, including preparing files for disclosure from restricted environments (FSRDC).

Pay Range:  $30.28/hr- $37.50/hr (or $63,003.20- $78,000 annually) depending on qualifications


Work Location: This position is eligible to work up to 1 day remotely and is required to work at least 4 days a week in the office. ISRDI is located at 50 Willey Hall in Minneapolis, MN. 


Please note this position is not eligible for visa sponsorship

Qualifications
 

Required:

  • Bachelor's degree + 4 years of experience or a combination of education and experience to equal 8 years.
  • At least 3 years of programming experience in R
  • Expertise in testing research hypotheses using R
  • Expertise with regression research
  • Previous experience managing research projects