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Remote R Programmer Jobs in Aldie, VA (NOW HIRING)

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Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript ...

asrcfh

Geospatial Analyst

Reston, VA · On-site +1

Apply advanced remote sensing methods and GIS technologies to support crop production mapping and ... Jupyter Notebooks, Google Colab, or R Studio * Basic programming experience in Python, JavaScript ...

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$107K - $146.40K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... R). * Experience with data modeling, data pipeline creation, and deployment of ML models in ...

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$107K - $146.40K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... R). * Experience with data modeling, data pipeline creation, and deployment of ML models in ...

Alpha Omega Integration

Sr .Net Developer

Vienna, VA · Remote

$115K - $150K/yr

Remote Alpha Omega is seeking a highly skilled Sr .Net ASP Developer/Classic ASP Developer for a ... E.A.R.T. Awards Program, colleagues and managers can recognize each other for actions that ...

Alpha Omega Integration LLC

Sr .Net Developer

Vienna, VA · Remote

$115K - $150K/yr

Remote Alpha Omega is seeking a highly skilled Sr .Net ASP Developer/Classic ASP Developer for a ... E.A.R.T. Awards Program, colleagues and managers can recognize each other for actions that ...

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How much do remote r programmer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote r programmer in Aldie, VA is $122,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a Remote R Programmer job?

A Remote R Programmer is a professional who develops, analyzes, and optimizes data-driven solutions using the R programming language while working remotely. They typically handle statistical modeling, data visualization, and automation for various industries such as healthcare, finance, and research. This role often requires proficiency in R packages, data manipulation, and possibly integration with other tools like SQL or Python. Remote R Programmers collaborate with teams through virtual communication and use cloud-based or local development environments.

What are the key skills and qualifications needed to thrive in the Remote R Programmer position, and why are they important?

A Remote R Programmer requires strong proficiency in R programming, data analysis, and statistical modeling, typically backed by a degree in computer science, statistics, or a related field. Familiarity with tools like RStudio, version control systems (e.g., Git), and experience with relevant data visualization or reporting libraries are commonly expected. Excellent problem-solving skills, self-motivation, and effective communication are crucial for remote collaboration and project delivery. These competencies ensure the programmer can independently develop, deploy, and maintain analytical solutions while contributing effectively to distributed teams.

What does a typical day look like for a Remote R Programmer?

A typical day for a Remote R Programmer involves writing and testing R scripts, analyzing large datasets, creating data visualizations, and preparing reports for team review. You may have regular check-ins or stand-up meetings with data scientists, project managers, or stakeholders to discuss project progress and address any technical challenges. Collaboration often occurs via digital communication platforms, with an emphasis on documenting code and sharing updates regularly. The remote nature of the role requires self-discipline, clear communication, and proactive problem-solving to ensure project goals are met efficiently.
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Clinical SAS Programmer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted 20 days ago

Job description

#W2 Role

Job Title: Clinical SAS Programmer

No of positions- 2

Location- Remote
Experience Required:6+ Years
Education: Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
 

Job Summary

We are seeking a Clinical SAS Programmer with strong experience in SAS programming and CDISC standards within a regulatory environment. The ideal candidate will be responsible for creating and validating SDTM domains and ADaM datasets, developing mapping specifications, and supporting clinical data programming activities with accuracy and compliance.

Key Responsibilities

  • Develop and validate specifications for creating SDTM domains from raw/source clinical data.
  • Create and validate CDISC-compliant SDTM domains and ADaM datasets using SAS.
  • Prepare mapping specifications from CRF and other raw data sources to appropriate SDTM domains.
  • Develop specifications to map SDTM datasets to ADaM datasets.
  • Write clear and detailed programming instructions for complex data derivations.
  • Perform dataset validation and quality checks to ensure regulatory compliance and data integrity.
  • Develop SAS macros and reusable programs to improve efficiency and streamline workflow.
  • Apply advanced SAS programming techniques for custom clinical data programming needs.
  • Work effectively in a dynamic environment and adapt quickly to changing project requirements.

Required Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
  • 4+  years of experience in clinical SAS programming.
  • Strong hands-on experience using SAS to create CDISC-compliant outputs in a regulated clinical environment.
  • Solid understanding of SDTM, ADaM, and clinical data standards.
  • Experience in writing and validating dataset specifications.
  • Familiarity with P21 software.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience with R and Python is a strong plus.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Strong attention to detail and problem-solving skills.