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Internship Remote Statistical Programmer Jobs in Dallas, TX

The Owned Eye Care Data Analytics Internship is an incredible opportunity to put your skills to the ... Data Science, Statistics, or Biostatistics * Intermediate knowledge of programming languages such ...

Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ... Flexible work schedules and remote work options may be available for this position, depending on ...

New

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

This semester-long, paid internship (20+ hours/week) with flexible scheduling, offering hands-on ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

... statistical inference, and data engineering could directly shape how the world's most advanced AI ... This is a fully remote, flexible contract role. No prior AI industry experience required - just ...

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Recent graduates in Computer Science, Engineering, Math, Statistics, or related STEM fields

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Internship Remote Statistical Programmer information

See Dallas, TX salary details

$83.6K

$145.7K

$246.3K

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

As of May 28, 2026, the average yearly pay for internship remote 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 are the key skills and qualifications needed to thrive as an Internship Remote Statistical Programmer, and why are they important?

To thrive as an Internship Remote Statistical Programmer, you need a solid background in statistics, programming (especially in SAS, R, or Python), and data analysis, often supported by coursework in statistics or computer science. Familiarity with statistical software, data management systems, and tools like SAS or RStudio is typically required. Attention to detail, problem-solving abilities, and effective remote communication skills help interns stand out in both independent and collaborative tasks. These skills and qualities are crucial for delivering accurate analyses, meeting deadlines, and contributing effectively to data-driven projects in a remote environment.

What types of projects and responsibilities can I expect as a remote statistical programming intern?

As a remote statistical programming intern, you'll typically assist with data cleaning, analysis, and reporting tasks under the guidance of senior programmers and biostatisticians. You'll often use software like SAS or R to process clinical trial or research data, create summary tables, and support the preparation of statistical deliverables. Collaboration is usually virtual, involving regular meetings, code reviews, and shared documentation. This role provides an opportunity to build foundational programming skills while contributing to real-world research projects, and you'll gain exposure to industry standards in data management and statistical analysis.

What is a remote statistical programmer internship?

A remote statistical programmer internship is a temporary, entry-level position in which interns work from a remote location to assist with data analysis and statistical programming tasks. Interns typically use programming languages such as SAS, R, or Python to manage and analyze data, often within industries like pharmaceuticals, healthcare, or finance. The role provides hands-on experience with real datasets, supports the work of experienced statisticians or data scientists, and helps interns develop valuable technical and analytical skills. Remote internships allow for flexibility in location and often require strong communication and self-motivation skills.

What is the difference between Internship Remote Statistical Programmer vs Remote Data Analyst?

AspectInternship Remote Statistical ProgrammerRemote Data Analyst
Required CredentialsTypically pursuing or recent graduate in biostatistics, statistics, or related fieldOften degree in statistics, data science, or related field; may have certifications in data analysis tools
Work EnvironmentRemote internship, often part-time, supervised by senior statisticiansRemote or hybrid, full-time or part-time, with focus on data interpretation and reporting
Industry UsageCommon in pharmaceutical, biotech, and clinical research companiesUsed across various industries including healthcare, finance, and marketing

The main difference is that an Internship Remote Statistical Programmer is typically an entry-level, supervised role focused on programming tasks in clinical research, while a Remote Data Analyst often handles broader data analysis responsibilities across industries. Internships are usually temporary and aimed at gaining experience, whereas Data Analysts may have more independent responsibilities.

What job categories do people searching Internship Remote Statistical Programmer jobs in Dallas, TX look for? The top searched job categories for Internship Remote Statistical Programmer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Internship Remote Statistical Programmer jobs? Cities near Dallas, TX with the most Internship Remote Statistical Programmer job openings:
Python Data Wrangler Internship

Python Data Wrangler Internship

RefineRE

Dallas, TX • On-site, Remote

$50 - $68.75/hr

Other

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


Job description

Python Intern

RefineRE is seeking a Python intern to work closely with the product team on various projects to ensure integrity of data quality. These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python skills.

Requirements:

  • Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field.
  • 2 or more years of educational experience with statistical programming languages (such as Python or R).
  • Familiarity with Jupyter notebooks or other Python IDE's.
  • Ability to do basic tasks in Python or R to:
    • Create loops for iterating over rows and columns in a data frame,
    • Transform data based on logical conditions,
    • Keep well-documented code while producing project deliverables on time,
    • Develop reusable, efficient, testable, and scalable code.

Nice to have:

  • Experience with SQL, API's, GCP and/or Tableau.

*Can be in office, remote, or hybrid*