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Remote R Programmer Jobs (NOW HIRING)

EDETEK

Senior Statistical Programmer

The ideal candidate will have a strong background in programming languages such as SAS and R, as ... This is a remote position, and we are open to candidates based in the United States, Bulgaria ...

R.E.Y. Engineers

Extraction Technician

Folsom, CA · Remote

Extraction Technician R.E.Y. Engineers, Inc. 📍 Folsom, California | Remote and Hybrid Options | Full-Time About R.E.Y. Engineers, Inc. R.E.Y. Engineers, Inc. is a California-based civil ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

R Scripting * IM/GIS Applications (i.e. ArcGIS, QGIS, Asset management software) * Intermediate ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

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How much do remote r programmer jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote r programmer in the United States is $124,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $139,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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What cities are hiring for Remote R Programmer jobs? Cities with the most Remote R Programmer job openings:
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Remote R Programmer jobs near you
Infographic showing various Remote R Programmer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 85% Full Time, 6% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.

Statistical Analytical Programmer

Slipstream IT

Blue Bell, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

At Slipstream, we work to streamline IT Support and provide managed solutions with a strategic consulting and global leadership management approach. Our solutions are designed exclusively for emerging pharma and biotech organizations. Slipstream’s industry-leading solutions free clients from the demands of internal IT and allow them to rapidly advance their mission. Led by a leadership team that has been together for over 10+ years, you will join a proven team, culture, and strategy to drive innovation within the IT outsourcing industry while developing your skillset with opportunities for internal growth.

Job Overview:

The Statistical Analytical Programmer plays a key role in turning complex EMR-focused real-world data into clear, analysis-ready datasets and high-quality study outputs. This person will bring strong SAS programming experience and a practical understanding of observational research and epidemiologic methods to support regulatory and scientific projects.

Working closely with epidemiologists, biostatisticians, medical writers, and regulatory partners, this role helps deliver transparent, reproducible analyses that support publications, value evidence, and regulatory decision-making.

Responsibilities and Duties:

  • Analyze real-world datasets to support epidemiologic, scientific, and regulatory projects.
  • Build, validate, and maintain SAS programs for analysis datasets and study outputs.
  • Transform raw real-world data sources—including EMR, EHR, claims, and registries—into accurate, traceable, analysis-ready datasets.
  • Perform quality control and peer review to ensure programming deliverables are accurate and aligned with study plans and SOPs.
  • Document programming decisions and dataset derivations to support reproducibility and audit readiness.
  • Review and validate SAS code and outputs developed by other programmers.
  • Partner with cross-functional teams including epidemiology, biostatistics, medical writing, regulatory, and client stakeholders.
  • Follow internal SOPs, FDA RWE guidance, and other applicable regulatory standards.

Qualification:

  • Education: BS or MS in statistics, biostatistics, epidemiology, computer science, or a related quantitative field.
  • Experience: 5+ years of SAS programming experience in life sciences, ideally supporting observational research, epidemiologic studies, or regulatory projects using real-world data.
  • Special Skills: Strong understanding of real-world data structures, especially EMR- and EHR-based datasets, as well as claims and registry data. Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS, with R experience beneficial for data analysis, programming, and statistical workflows. Strong documentation skills, including code annotation, traceability, and reproducibility. Experience with Veeva Vault or similar document management systems is a plus.
  • Personal Characteristics: Collaborative, detail-oriented, and comfortable working across epidemiology, biostatistics, medical writing, and regulatory teams. 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 beneficial.
  • Experience working with Truveta data or similar EMR-based real-world data sources is highly beneficial.

Travel: 10% at the most

Benefits

  • 401k match
  • Comprehensive group health, dental, vision benefits
  • Life insurance/LTD
  • Discretionary PTO

Slipstream is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation or identity, national origin, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Slipstream IT makes hiring decisions based solely on qualifications, merit, and business needs at the time.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at any time at the sole discretion of the Employer

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