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Remote R Programmer Jobs (NOW HIRING)

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 ...

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 ...

My3Tech Inc

Power BI Developer/Programmer

NCAOC - Power BI Developer/Programmer This is a remote position (local to NC). The North Carolina ... Experience with analysis through automation and the use of Python, SQL, R, Java and other data ...

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How much do remote r programmer jobs pay per year?

As of Jun 28, 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:
What are the most commonly searched types of R Programmer jobs? The most popular types of R Programmer jobs are:
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Remote R Programmer jobs near you
Infographic showing various Remote R Programmer job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $124,000 per year, or $59.6 per hour.
Senior RWE/RWA Programmer - Remote

Senior RWE/RWA Programmer - Remote

Penfield Search Partners

Fairfield, CT • Remote

Other

Posted 14 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research

Essential Functions Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project. Clean and validate RWD for consistency and reliability Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses Create or review and approve programming plans at study and project level. Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.

Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies Develop dashboards, reports, and presentations to communicate findings Work collaboratively with members of study teams to meet study and recurring report timelines Minimum Requirements MS in data science, epidemiology, statistics, public health or related discipline At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations Fluence in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage Optum and Flatiron experience are required Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g

payers and reimbursement models) Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data Experience with big data analytical platforms Deep understanding of observational study analysis Able to work in a fast-paced, flexible, team-oriented environment

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