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Remote R Programming Jobs in Roseland, NJ (NOW HIRING)

MM International

Data Scientist

New York, NY · Remote

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 ...

Flagler Health

Vice President, Engineering

New York, NY · Remote

$184K - $237K/yr

As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while ... Distributed remote team with hybrid offices in NYC and Vancouver * This role requires regular and ...

Abaxis

Data Engineer

Parsippany, NJ · Remote

$105K - $151K/yr

Strong proficiency in SQL and at least one programming language (Python, Scala, Java). * Experience ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Uber Technologies, Inc.

Scientist II, Tech

New York, NY · On-site +1

Develop end-to-end solutions to abstract business and engineering problems related to funnel ... R or Python; * Database query languages: SQL; * Experimentation techniques including simulation or ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Location can be remote. As long as the candidate is available to work during EST business hours and ... Proficient in Python and statistical and analytical tools like R * Experience with automation tools ...

Mercor

Enterprise Data Science Specialist

New York, NY · Remote

$60 - $70/hr

Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale ... Develop data and MLOps scenarios using tools like Snowflake , Databricks , Python/R , SQL , Tableau ...

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Remote R Programming information

See Roseland, NJ salary details

$86.3K

$133.8K

$162.9K

How much do remote r programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote r programming in Roseland, NJ is $133,760.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,100.00 and $150,500.00 per year, depending on experience, location, and employer.

What does a remote R programmer do?

Remote R Programmers often work on projects involving data cleaning, statistical modeling, and creating data visualizations for business or scientific insights. They may be responsible for developing automated data workflows, building predictive models, or generating reproducible reports using R Markdown or Shiny dashboards. Additionally, remote work usually requires frequent collaboration with data scientists, analysts, or cross-functional teams via virtual meetings and project management platforms. This role allows you to contribute to diverse industries, ranging from healthcare to finance, and offers opportunities to continuously expand your technical expertise.

What is a remote R programming?

A Remote R Programming job involves using the R programming language for data analysis, statistical modeling, and visualization while working from a remote location. Professionals in this role may work in fields such as data science, finance, healthcare, or research. Tasks often include data cleaning, building predictive models, and generating reports using R packages like ggplot2, dplyr, and tidymodels. Remote R programmers typically collaborate with teams through online communication tools and version control systems like Git. This role requires strong analytical skills and the ability to work independently while delivering data-driven insights.

What are the key skills and qualifications needed to thrive in the remote R programming position?

To thrive as a Remote R Programmer, you need strong proficiency in R programming, data analysis, and statistics, typically supported by a degree in a quantitative field such as computer science, statistics, or data science. Familiarity with version control systems like Git, data visualization libraries (e.g., ggplot2), and experience with cloud-based collaboration tools is highly valued. Excellent communication skills, self-motivation, and the ability to work independently are important soft skills for remote success. These competencies ensure that you can efficiently deliver high-quality analytical solutions and collaborate with distributed teams.

What cities near Roseland, NJ are hiring for Remote R Programming jobs? Cities near Roseland, NJ with the most Remote R Programming job openings:
Remote R Programming jobs near you
Infographic showing various Remote R Programming job openings in Roseland, NJ as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $133,760 per year, or $64.3 per hour.

Data Scientist

MM International

New York, NY • Remote

Contractor

Re-posted 3 days ago

Job description

Title:  Data Scientist

Location:  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 studies’ complexity and studies’ development stage:
• Implement and maintain pre-defined KRIs, QTLs, and triggers using robust SAS programs/macros across multiple clinical studies.
• Extract, transform, and integrate data from EDC systems (e.g., RAVE) and other clinical sources into analysis-ready SAS datasets.
• Run routine and ad-hoc RBQM/central monitoring outputs (tables, listings, data extracts, dashboard feeds) to support signal detection and study review.
• Perform QC and troubleshooting of SAS code; ensure outputs are accurate and efficient.
• Maintain clear technical documentation (specifications, validation records, change logs) for all RBQM programs and processes.
• 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
• PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field.
• 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 – Required
• Advanced SAS programming skills (hard requirement) in a clinical trials environment (Base SAS, Macro, SAS SQL; experience with large, complex clinical datasets).
• Hands-on experience working with clinical trial data.
• Proficiency with Microsoft Word, Excel, and PowerPoint.
Technical – Preferred / Strong Plus
• Experience with RAVE EDC.
• Awareness or working knowledge of CDISC, CDASH, SDTM standards.
• Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.