1

Internship R Statistical Programmer Jobs in Dallas, TX

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.

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

R Programming (2+ years) * Experience with Statistical Analysis (2+ years) * Linux and Hadoop experience - needs to have an understanding of these, no minimum requirements, but previous work ...

... programming concepts Experience with statistical tools and concepts (R, SPSS, SAS) Preferred skill set: Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data ...

Applies advanced knowledge of statistical procedures, Psychometric methods and their applications and statistical programming (e.g., R). Job Requirements * Ph.D. in Statistics, Education Measurement ...

... one statistical programming language (R, SAS, and/or Python). • Strong quantitative skills. • Experience in applying advanced statistical or machine learning techniques. • Knowledge of ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ... Experience with at least one statistical programming language: Python, R, or SAS Other Things We ...

next page

Showing results 1-20

Internship R Statistical Programmer information

See Dallas, TX salary details

$83.6K

$145.7K

$246.3K

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

As of Jul 31, 2026, the average yearly pay for internship r statistical programmer in Dallas, TX is $145,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,700.00 and $158,300.00 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.
What are popular job titles related to Internship R Statistical Programmer jobs in Dallas, TX? For Internship R Statistical Programmer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Internship R Statistical Programmer jobs in Dallas, TX look for? The top searched job categories for Internship R Statistical Programmer jobs in Dallas, TX are:
Infographic showing various Internship R Statistical Programmer job openings in Dallas, TX as of July 2026, with employment types broken down into 2% Internship, 77% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $145,706 per year, or $70.1 per hour.

Full-time

Medical, Retirement, PTO

Posted 7 days ago


Baylor Scott & White Health rating

7.5

Company rating: 7.5 out of 10

Based on 757 frontline employees who took The Breakroom Quiz

230th of 885 rated healthcare providers


Job description

About Us

Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.

Our Core Values are:

  • We serve faithfully by doing what's right with a joyful heart.
  • We never settle by constantly striving for better.
  • We are in it together by supporting one another and those we serve.
  • We make an impact by taking initiative and delivering exceptional experience.
Benefits

Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include:

  • Immediate eligibility for health and welfare benefits
  • 401(k) savings plan with dollar-for-dollar match up to 5%
  • Tuition Reimbursement
  • PTO accrual beginning Day 1

Note: Benefits may vary based upon position type and/or level.

Job Summary

The Statistical Programmer provides programming help for research projects and other Baylor Scott & White initiatives. This role works with Investigators, Analysts, and Biostatisticians to prepare statistical datasets. The Statistical Programmer also helps perform analyses to produce summary tables and graphs under senior staff direction. The Statistical Programmer is expected to grow professionally by earning programming certifications or improving statistical knowledge. All job duties must be completed in a timely and professional manner.

Essential Functions of the Role
  • Assists in creating statistical datasets by merging multiple files, and formatting and creating new variables.
  • Works directly with investigators, project heads and biostatisticians to gather requirements needed to format data for investigation.
  • Creates and maintains project related documentation such as programming requirements and annotations, data dictionaries and archiving documentation.
  • Creates summary tables with descriptive statistics.
  • Constructs common graphs/figures.
  • Conducts simple, unadjusted statistical examination.
  • Assists in review and validation of code by other team members.
  • Attends meetings regularly and participates in technical discussions.
  • Conducts oneself in a professional manner and follows best practices for implementing and conducting project activities.
Key Success Factors
  • Proficiency in SAS and/or statistical programming languages (e.g. R, STATA, Python).
  • Knowledge of basic statistical analyses (e.g. summary statistics, graphs, t-tests, correlations).
  • Good time management skills.
  • Good written and oral communication skills.
  • Ability to work on multiple projects and prioritize tasks.
  • Ability to partner with transdisciplinary teams.
Belonging Statement

We believe that all people should feel welcomed, valued and supported.

QUALIFICATIONS

  • EDUCATION - Bachelor's
  • EXPERIENCE - 2 Years of Experience
Employment Type: FULL_TIME

What Baylor Scott & White Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom