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Remote Statistical Programmer Jobs (NOW HIRING)

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

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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 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 ...

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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Remote Statistical Programmer information

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$84.5K

$147.3K

$249K

How much do remote statistical programmer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a remote statistical programmer, and why are they important?

To thrive as a Remote Statistical Programmer, you need strong proficiency in statistics, data analysis, and programming languages like SAS or R, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software, clinical trial data standards (such as CDISC), and regulatory submission requirements is often necessary. Attention to detail, problem-solving ability, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies ensure high-quality data analysis, regulatory compliance, and seamless teamwork in a remote environment.

How do remote statistical programmers typically collaborate with cross-functional teams despite working remotely?

Remote Statistical Programmers often work closely with biostatisticians, data managers, and clinical research associates using collaborative tools such as video conferencing, project management platforms, and secure data-sharing systems. Regular virtual meetings are scheduled to discuss project progress, address data or programming issues, and align on analysis plans. Clear documentation and version control are essential to ensure seamless teamwork and maintain data integrity. Effective communication skills and proactive updates help bridge the physical distance and contribute to successful project outcomes.

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

AspectRemote Statistical ProgrammerClinical Data Analyst
Required CredentialsBachelor's/Master's in Biostatistics, Statistics, or related field; programming skills in SAS, R, or PythonBachelor's/Master's in Statistics, Data Science, or related; strong analytical and statistical skills
Work EnvironmentRemote or office-based, collaborating with biostatistics teams in clinical trialsRemote or on-site, analyzing clinical data to support study outcomes
Employer & Industry UsagePharmaceuticals, biotech, CROs, clinical research organizationsPharmaceuticals, healthcare, research institutions, CROs

Remote Statistical Programmers focus on programming and data management for clinical trials, while Clinical Data Analysts interpret and analyze clinical data. Both roles require strong statistical skills and often work in similar environments within the healthcare and pharmaceutical industries, but their core responsibilities differ.

What does a remote statistical programmer do?

As a remote statistical programmer, you use programming techniques to produce useful data sets from raw data. In this role, you may evaluate the programming needs of each project, use validation techniques to ensure the accuracy of all data sets your programs make, and manage both a database and the operating environment of your software. Remote statistical programmers often work from home and collaborate with other programmers through video calls, voice chat, or remote office software. This job is also known as SAS, which stands for statistical analysis system programming, and companies may advertise under either title.

What is a remote statistical programmer?

A remote statistical programmer is a professional who uses statistical software and programming languages to analyze data, typically for research, clinical trials, or business insights, while working from a location outside of a traditional office environment. They are responsible for managing, cleaning, and organizing large datasets, and for developing programs that generate statistical analyses and reports. Remote statistical programmers often collaborate with statisticians, data scientists, and project teams using online communication tools. This role requires strong skills in programming languages such as SAS, R, or Python, and attention to detail when handling complex data. Working remotely provides flexibility but also requires good time management and communication skills.
What cities are hiring for Remote Statistical Programmer jobs? Cities with the most Remote Statistical Programmer job openings:
What are the most commonly searched types of Statistical Programmer jobs? The most popular types of Statistical Programmer jobs are:
What states have the most Remote Statistical Programmer jobs? States with the most job openings for Remote Statistical Programmer jobs include:
Infographic showing various Remote Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% 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

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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/