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Internship R Statistical Programmer Jobs in Texas

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.

Ability to program, document, and validate statistical software code in at least one statistical programming language, such as R or SAS, is required. * 3+ years of experience of relevant experience ...

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

Statistician

Houston, TX · On-site

$42/hr

The position requires expertise in statistical modeling, data engineering, and applied machine ... leveraging R and Python for new analyses Collaborate with faculty and stakeholders to ensure ...

New

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. * Advanced ... Demonstrate expertise in ML techniques, SQL, Python/R, and big data frameworks. * Hands-on ...

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Internship R Statistical Programmer information

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 the most commonly searched types of R Statistical Programmer jobs in Texas? The most popular types of R Statistical Programmer jobs in Texas are:
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What cities in Texas are hiring for Internship R Statistical Programmer jobs? Cities in Texas with the most Internship R Statistical Programmer job openings:
Infographic showing various Internship R Statistical Programmer job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 61% Full Time, 36% Part Time, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

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

231st of 890 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

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