ZipRecruiter

Log In

2

Remote Statistical Programmer Jobs (NOW HIRING)

Syneoshealth

Sr Statistical Programmer (NA Only)

Sr Statistical Programmer (NA Only) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point ...

Penumbra

Manager, Statistical Programming

The Manager of Statistical Programming provides statistical programming support for multiple projects through own efforts and those of staff for assigned projects. The manager builds relationships ...

Penumbra

Manager, Statistical Programming

The Manager of Statistical Programming provides statistical programming support for multiple projects through own efforts and those of staff for assigned projects. The manager builds relationships ...

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Able to work independently in a remote environment and manage timelines effectively. Preferred Qualifications: * Experience with R for data analysis, programming, or statistical workflows is highly ...

Syneoshealth

Principal Statistical Programmer (US, CAD, UK only) Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsTechnology JobsData JobsData Scientist JobsRemote Statistical Programmer Jobs

Remote Statistical Programmer information

See salary details

$84.5K

$147.3K

$249K

How much do remote statistical programmer jobs pay per year?

As of Sep 1, 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.

More about Remote Statistical Programmer jobs

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:

What job categories do people searching Remote Statistical Programmer jobs look for?

The top searched job categories for Remote Statistical Programmer jobs are:

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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.

Clinical Statistical Programming Infrastructure Engineer (SAS/AWS)- BB

TechData Service Company LLC

Boston, MA • Remote

$70 - $130/hr

Full-time

Medical, Dental, Vision, PTO

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

Job description

Statistical Programming Infrastructure Engineer (SAS/AWS) – 2 Openings (1 Sr./1 Jr.) – Remote - BBBR

Location: Remote

Position Summary

Client is seeking 2 Statistical Programming Infrastructure Engineers (1 Senior/1 Junior) to help design, build, and maintain the company's next-generation statistical programming infrastructure within AWS. This is a unique remote role combining SAS statistical programming expertise with cloud infrastructure engineering. The successful candidate will lead the migration of on-premise statistical programming environments into a secure, scalable AWS cloud platform while establishing best practices, automation, and governance for future clinical development initiatives.

This individual will partner with Biostatistics, Statistical Programming, IT Infrastructure, Data Management, and Clinical Development teams to create an enterprise-level statistical computing environment supporting research and clinical programs.

Responsibilities

  • Design, build, and administer enterprise statistical programming infrastructure within AWS.
  • Develop and maintain SAS programming environments supporting clinical and research initiatives.
  • Configure AWS servers, storage, networking, permissions, and security for statistical computing.
  • Build standardized directory structures, environments, user access, and shared services.
  • Develop and maintain SAS Macro libraries and utility macros used across programming teams.
  • Create automated deployment and maintenance processes for SAS applications and cloud resources.
  • Support migration of existing SAS applications, programs, and datasets into AWS.
  • Collaborate with IT to establish scalable, secure cloud architecture following GxP and regulatory requirements.
  • Implement infrastructure monitoring, backup, disaster recovery, and performance optimization.
  • Develop documentation, SOPs, and technical standards for cloud-based statistical programming environments.
  • Provide technical leadership and mentorship to programming and infrastructure team members.
  • Troubleshoot complex infrastructure, SAS, and cloud-related issues.
  • Support validation activities and ensure compliance with FDA, GCP, and 21 CFR Part 11 requirements.

Required Qualifications

  • Bachelor's degree in Computer Science, Statistics, Bioinformatics, Information Systems, or related field.
  • SAS programming experience in biotechnology, pharmaceutical, or clinical research environments.
  • Strong knowledge of Base SAS, SAS Macro programming, and utility macro development.
  • Experience administering statistical programming environments.
  • Hands-on experience with AWS infrastructure including:
    • EC2
    • S3
    • IAM
    • VPC
    • CloudWatch
    • Backup & Recovery
  • Experience building cloud infrastructure from the ground up.
  • Strong Linux or Windows Server administration experience.
  • Experience supporting regulated clinical environments.
  • Excellent scripting skills (PowerShell, Bash, or Python preferred).
  • Strong understanding of infrastructure security, user permissions, and access controls.

Preferred Qualifications

  • SAS Platform Administration experience.
  • Experience migrating statistical computing environments to AWS.
  • CDISC SDTM/ADaM familiarity.
  • Experience supporting Biostatistics or Statistical Programming departments.
  • Knowledge of Git, CI/CD pipelines, Terraform, or Infrastructure as Code.
  • Experience supporting GxP validated systems.
  • Knowledge of Seqera, Nextflow, or scientific computing platforms is a plus.

Desired Skills

  • SAS Programming
  • SAS Macro Development
  • Utility Macros
  • AWS Cloud Infrastructure
  • Infrastructure Administration
  • Linux Administration
  • Windows Server
  • Cloud Architecture
  • Automation
  • Clinical Data
  • Statistical Computing
  • Biotechnology
  • Pharmaceutical Industry
  • GCP
  • FDA Compliance
  • 21 CFR Part 11
  • Infrastructure Design
  • AWS Security
  • Cloud Migration
  • Documentation

Company Description

https://quantive.bio/