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Internship R Statistical Programmer Jobs in Dallas, TX

Highbrow LLC

Data Scientist / ML Engineer

Frisco, TX · On-site

$100 - $130/hr

... or R programming and statistical packages, and ML libraries such as scikit-learn, TensorFlow, PyTorch, etc. 3 plus years of experience in building use cases / solutions especially around AI/ML ...

Cambium Learning Group

Senior Psychometrician

Dallas, TX · On-site +1

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 ...

Pyramid Consulting, Inc

Data Scientist

Plano, TX · On-site

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

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

... Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. * Programming experience: Python & Spark (preferred) and/or other languages such as R ...

TeleWorld Solutions

Machine Learning Engineer

Plano, TX · On-site

... Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL ...

Munich Re

Data Scientist

Arlington, TX · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

Argon Medical Devices, Inc.

Product Engineer III

Plano, TX · On-site

$80 - $100/hr

Strong experience with medical device testing, test method validations (TMV), gauge R&R, and ... Use of statistical analysis software and strong fundamental understanding of engineering statistics ...

New

MACOM

Principal Product Engineer - MMICs

Plano, TX · On-site

$110 - $170/hr

Principal Product Engineer - MMICs As a Product Engineer at MACOM Technology Solutions, you will be ... Conduct measurement systems analysis (gauge R&R) * Analyze data using sound statistical methodology

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All JobsR Statistical Programmer JobsInternship R Statistical Programmer JobsInternship R Statistical Programmer Jobs in Dallas, TX

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 Aug 20, 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 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 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 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.

Which internship is best for statistics students?

The best internship for statistics students, including those interested in statistical programming roles like an Internship R Statistical Programmer, typically involves positions in data analysis, research, or data science that offer hands-on experience with statistical software such as R or SAS. These internships often provide exposure to real-world data projects, improve programming skills, and may require familiarity with statistical methods and data visualization tools. Selecting internships at research institutions, healthcare companies, or tech firms can enhance practical knowledge and improve job prospects in the field.

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:

Internship R Statistical Programmer jobs near you
Infographic showing various Internship R Statistical Programmer job openings in Dallas, TX as of August 2026, with employment types broken down into 10% Internship, 71% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $145,706 per year, or $70.1 per hour.

Staff Quantitative Scientist

Verily Life Sciences

Dallas, TX • On-site

Full-time

Posted 15 days ago

Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
As a Staff Quantitative Scientist at Verily you will have the unique opportunity to shape the future of healthcare analytics, tackling complex challenges in personalizing patient care and the development of new approaches to health care delivery. You will be at the forefront of applying cutting-edge statistical and computational techniques to real-world health data, driving innovations that can transform patient outcomes and advance public health.
Responsibilities
  • Design and analyze health studies using statistical and epidemiological methods to support decision-making.
  • Oversee research projects from design to dissemination, employing scientific rigor by ensuring quality of statistical analysis plans, data, analytical code, and output
  • Work with Care Delivery, Product, and Commercial teams to demonstrate effectiveness of Verily's portfolio and develop metrics that enable strategic tracking based on evidence generation
  • Design and carry out analyses of clinical outcomes, health care costs, and utilization, including KPIs and performance guarantees.
  • Work with cross functional teams to test service delivery models, and evaluate the impact of new product features and AI on engagement and clinical outcomes.

Qualifications
Minimum Qualifications
  • Master's in Health Economics, Biostatistics, Epidemiology, Data Science, or related field
  • 5+ years in statistical analysis or biostatistics within healthcare.
  • Proficiency in Python or R for statistical programming.
  • Experience with health economic and epidemiological methods and study designs.

Preferred Qualifications
  • PhD in Health Economics, Health Services Research, Biostatistics, Epidemiology, Data Science, or related field
  • Experience with observational healthcare data including claims or electronic health records
  • Experience with advanced statistical or machine learning methods.
  • Previous experience working with products and/or digital health solutions.
  • Strong publication record and experience in study design.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $130,000 - $196,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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