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Remote R Programmer Jobs in Woodbridge, NJ (NOW HIRING)

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based ... SAS programming to deliver robust and scalable analytics across multiple studies. KEY ...

This role is open to remote employees, or relocation assistance is available to one of our OpenAI ... Collaborate closely with Detection & Response (D&R) and other security teams to reduce the company ...

AI Product Manager

Manhattan, NY ยท On-site +1

$78K - $131K/yr

You will collaborate with engineering, production support, and application teams to deliver high ... The starting pay range for this remote role is $78,948-$131,700.00. This range reflects the minimum ...

AI Product Manager

New York, NY ยท On-site +1

$78K - $131K/yr

You will collaborate with engineering, production support, and application teams to deliver high ... The starting pay range for this remote role is $78,948-$131,700.00. This range reflects the minimum ...

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Remote R Programmer information

See Woodbridge, NJ salary details

$80.8K

$125.2K

$152.5K

How much do remote r programmer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for remote r programmer in Woodbridge, NJ is $125,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $140,800.00 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.

What are popular job titles related to Remote R Programmer jobs in Woodbridge, NJ? For Remote R Programmer jobs in Woodbridge, NJ, the most frequently searched job titles are:
What cities near Woodbridge, NJ are hiring for Remote R Programmer jobs? Cities near Woodbridge, NJ with the most Remote R Programmer job openings:
Data Scientist

Data Scientist

MM International

New York, NY โ€ข Remote

Contractor

Posted 14 days ago


Job description

Title:ย  Data Scientist

Location:ย  Remote

Duration 4-6 months

The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined KRIs, QTLs, and other risk metrics using clinical data, with strong emphasis on SAS programming to deliver robust and scalable analytics across multiple studies.
KEY RESPONSIBILITIES:
The RBQM Data Scientist may perform a range of the following responsibilities, depending upon the studiesโ€™ complexity and studiesโ€™ development stage:
โ€ข Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
โ€ข Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
โ€ข Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
โ€ข Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
โ€ข Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
โ€ข Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics, and Study Operations to understand requirements and ensure correct implementation of RBQM metrics.
Qualifications
Education & Experience
โ€ข PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
โ€ข Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example:
o PhD: 3+ years
o MS: 5+ years
o BA/BS: 8+ years
Technical โ€“ Required
โ€ข Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
โ€ข Hands-on experience working with clinical trial data.
โ€ข Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical โ€“ Preferred / Strong Plus
โ€ข Experience with RAVE EDC.
โ€ข Awareness or working knowledge of CDISC, CDASH, SDTM standards.
โ€ข Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.