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Internship Remote Statistical Programmer Jobs (NOW HIRING)

TechData Service Company LLC

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Remote Statistical Programmer

Warren, NJ · Remote

$75 - $85/hr

Remote Company Description: Quantive Intelligence (QI) is a Decision Sciences platform specializing in biometrics services across biostatistics, statistical programming, and data management to ...

New

Vrtx

Principal Statistical Programmer

Boston, MA · Remote

$149K - $223K/yr

The Principal Statistical Programmer works with management to delegate tasks appropriately, track ... Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be ...

EDETEK

Senior Statistical Programmer

Edetek is seeking a highly skilled Senior Statistical Programmer to join our dynamic team. As a ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

Becton, Dickinson and Company

The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating ... Remote or field-based positions will have different workplace arrangements which will be indicated ...

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Internship Remote Statistical Programmer information

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$84.5K

$147.3K

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

As of Aug 13, 2026, the average yearly pay for internship remote statistical programmer in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

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 types of projects and responsibilities can I expect as a remote statistical programmer 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 are the key skills and qualifications needed to thrive as an internship remote statistical programmer?

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.
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Internship Remote Statistical Programmer jobs near you
Infographic showing various Internship Remote Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 63% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Remote Statistical Programmer

TechData Service Company LLC

Warren, NJ • Remote

$75 - $85/hr

Contractor

Medical, Dental, Vision, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Type: Contract
Company: Biotech/Pharma
Length: 6 months (renewable)
Pay Rate: $75 - $85/hr.
Location: Remote


Company Description:

Quantive Intelligence (QI) is a Decision Sciences platform specializing in biometrics services across biostatistics, statistical programming, and data management to support clinical development for pharmaceutical and biotechnology sponsors. QI operates as an intelligence layer between complex clinical trial data and confident regulatory submissions, transforming data into clear, actionable insights. Our company plays a key role in helping customers achieve successful regulatory approvals through robust analytics and high-quality deliverables. Team members collaborate with leading life sciences organizations on impactful projects that advance clinical research and patient outcomes.


Role Description:

This is a contract, remote Statistical Programmer role. The Statistical Programmer will develop, validate, and maintain SAS and other programming code to support analysis and reporting of clinical trial data, including the creation of datasets, tables, listings, and figures in accordance with study protocols and regulatory standards. In close collaboration with biostatisticians, data managers, and project teams, the programmer will ensure data integrity, implement quality checks, and contribute to the design of efficient workflows for submissions. The role includes interpreting specifications (e.g., SDTM, ADaM), troubleshooting programming issues, documenting processes, and adhering to Good Clinical Practice and relevant regulatory guidelines. The Statistical Programmer will also support continuous improvement initiatives, contribute to best practices, and participate in cross-functional meetings to align deliverables with client and regulatory expectations.


Qualifications:

  • Strong proficiency in statistical programming languages, particularly SAS (Base, Macro, SQL), with experience programming clinical trial datasets and outputs.
  • Applied knowledge of clinical data standards (e.g., CDISC SDTM, ADaM), regulatory submission requirements, and common statistical reporting formats.
  • Experience working with clinical data management systems, relational databases, and data cleaning, validation, and reconciliation processes.
  • Ability to interpret biostatistical analysis plans and specifications, and collaborate effectively with biostatisticians on study deliverables.
  • Solid understanding of clinical trial workflows, Good Clinical Practice (GCP), and industry guidelines relevant to biometrics and submissions.
  • Strong analytical, problem-solving, and debugging skills, with attention to detail and commitment to high-quality, audit-ready code and documentation.
  • Effective written and verbal communication skills, with the ability to work collaboratively in cross-functional, on-site teams.
  • Bachelor’s or Master’s degree in Statistics, Biostatistics, Computer Science, Mathematics, or a related quantitative field, or equivalent relevant experience.

Company Description

https://quantive.bio/