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Remote Statistical Programmer Jobs (NOW HIRING)

Cytel

Senior R Statistical Programmer

Cambridge, MA · On-site +1

The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data ...

ProKidney

Programming Contractor

The Statistical Programmer Contractor is responsible for developing, validating, and maintaining SAS programming deliverables to support clinical study analysis and reporting. This role collaborates ...

ProKidney

Programming Contractor

The Statistical Programmer Contractor is responsible for developing, validating, and maintaining SAS programming deliverables to support clinical study analysis and reporting. This role collaborates ...

PSI CRO

Principal Statistician

You will contribute to statistical activities related to global clinical trials and work closely with international teams of statisticians, programmers and data managers, including the role of ...

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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 26, 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 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 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 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.

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Remote Statistical Programmer jobs near you
Infographic showing various Remote Statistical Programmer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Remote Biostatistics Consultant- Part Time

Marlborough, MA • Remote

Sigma Systems, Inc.
51 - 200 employees
Learn more about Sigma Systems, Inc.external

Part-time, Contractor

Posted 4 days ago

Job description

37573578 Remote Biostatistics Consultant- Part Time 6 Months Contract
Sigma Systems is currently looking for a Remote Biostatistics Consultant

This is a remote role initially working 10-15 hours a week for the first three months, then scaling back to 5-10 hours per week until the engagement ends.The consultant will support statistical deliverables within SMPA's oncology program. Responsibilities include reviewing and finalizing analysis datasets, supporting data quality and consistency checks, conducting or validating statistical analyses, generating tables, figures, and listings, interpreting statistical results, and contributing to statistical content to be used for publications. The consultant will collaborate with cross-functional team members, address publication-related statistical questions, and help ensure analyses and outputs are scientifically rigorous, accurate, and publication-ready. The role will work closely with the Medical Strategy lead and publications specialist. Responsibilities:

  • Lead Statistical Efforts: Serve as the primary biostatistician for a study within a project team, supporting closeout activities and reviewing, validating, and executing analyses
  • Provide Technical Guidance: Offer guidance to statistical programmers on developing SDTM/ADaM datasets and TLFs (Tables, Listings, and Figures) specifications, as well as perform quality checks on statistical programming efforts as needed
  • Communication Skills: Strong written and verbal communication skills with the ability to present complex statistical concepts to both technical and non-technical audiences
  • Collaboration: Proven ability to work effectively as part of a cross-functional team
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to make strategic decisions based on data-driven insights
  • Statistical Expertise: In-depth knowledge of statistical methods and their application in oncology clinical trials
  • Software Proficiency: Proficient in statistical programming languages and software, such as SAS and R, with the ability to guide data analysis and interpretation.
  • Data Standards: Experience with data standards such as CDISC SDTM and ADaM, including overseeing the development and quality control of specification
  • Quality Control: Strong attention to detail and commitment to ensuring the accuracy and integrity of statistical analyses and programming outputs.

Requirements:

  • PhD or MS in statistics or biostatistics
  • Ideal 3-year (for PhD) or 5-year (for MS) with experience in clinical trials
  • Broad and thorough understanding of statistical principles, up-to-date statistical design and methodologies, and their applications into clinical trial
  • Effective writing and communication skills: able to explain to team clearly and help team understand complex statistical design, methodology, decision rule, analysis plan and statistical report
  • Experience with Bayesian modeling and Analysis
  • Experienced with SAS programming, R programming and other statistical software