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Junior R Statistical Programmer Jobs in Woodbridge, NJ

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Working knowledge and experience with bio statistical analysis and R and/or SAS programming. * Excellent oral and written communication skills in English are a must. * Prior work experience in ...

Director, Biostatistics

Morristown, NJ · On-site

$150 - $210/hr

Responsibilities include ensuring the overall quality of statistical design, programming, analysis ... Proficiency in SAS and/or R; extensive experience with CDISC standards (SDTM, ADaM). * Excellent ...

... R statistical programming software Familiarity with commonly used public health metrics Familiarity with U.S. administrative geographies (counties, congressional districts, consolidated and ...

Preferred Qualifications Equipment Utilized Standard molecular biology equipment and procedures, fly husbandry, Perl and/or python programming languages, R statistical package and the Unix operating ...

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Junior R Statistical Programmer information

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$7

$27

$47

How much do junior r statistical programmer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for junior r statistical programmer in Woodbridge, NJ is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $33.51 per hour, depending on experience, location, and employer.

What are typical challenges a junior R statistical programmer might face when transitioning from academic projects to industry settings?

Junior R Statistical Programmers often find the shift from academic to industry work entails adapting to stricter timelines, code standardization, and collaborative workflows. In industry, you may need to follow specific documentation practices, utilize version control systems like Git, and adapt your code for scalability and reproducibility. Additionally, you’ll frequently collaborate with statisticians, data managers, and project leads, which requires strong communication skills and the ability to incorporate feedback from multiple stakeholders.

What is the difference between Junior R Statistical Programmer vs Data Analyst?

AspectJunior R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentPharmaceutical or clinical research settings, working on data processing and reportingBusiness, marketing, or healthcare sectors analyzing large datasets for insights
CertificationsOften requires a degree in statistics, biostatistics, or related field; certifications like SAS or R preferred

While both roles involve data analysis and R programming, Junior R Statistical Programmers focus more on clinical or research data processing within regulated environments, whereas Data Analysts work across various industries analyzing business data. The roles share skills but differ in context and application.

What are the key skills and qualifications needed to thrive as a junior R statistical programmer?

To thrive as a Junior R Statistical Programmer, you need a solid understanding of statistical concepts, programming proficiency in R, and a bachelor's degree in statistics, mathematics, computer science, or a related field. Familiarity with data management tools like SQL, version control systems such as Git, and statistical analysis packages in R is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with team members and clearly present analytical findings. These competencies ensure accurate data analysis, reproducible results, and successful teamwork within research or business environments.

What is a junior R statistical programmer?

Junior R Statistical Programmers are entry-level professionals who use the R programming language to analyze data, create statistical models, and generate reports, often for research, healthcare, or business purposes. They typically assist senior statisticians or data scientists by cleaning data, writing scripts, and performing basic statistical analyses. Their role helps organizations turn raw data into actionable insights, and they often work as part of a larger analytics or research team.
What are the most commonly searched types of R Statistical Programmer jobs in Woodbridge, NJ? The most popular types of R Statistical Programmer jobs in Woodbridge, NJ are:
What are popular job titles related to Junior R Statistical Programmer jobs in Woodbridge, NJ? For Junior R Statistical Programmer jobs in Woodbridge, NJ, the most frequently searched job titles are:
What job categories do people searching Junior R Statistical Programmer jobs in Woodbridge, NJ look for? The top searched job categories for Junior R Statistical Programmer jobs in Woodbridge, NJ are:
What cities near Woodbridge, NJ are hiring for Junior R Statistical Programmer jobs? Cities near Woodbridge, NJ with the most Junior R Statistical Programmer job openings:
Infographic showing various Junior R Statistical Programmer job openings in Woodbridge, NJ as of August 2026, with employment types broken down into 2% Internship, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $56,609 per year, or $27.2 per hour.

Adjunct Instructor - GPH-GU 2182 Statistical Programming in R (Graduate)

New York University

New York, NY • On-site

$222.27/hr

Full-time

Re-posted 7 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

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Job description

Description
Position: Adjunct Instructor - GPH-GU 2182 Statistical Programming in R (Graduate)
Department: NYU School of Global Public Health - Biostatistics
Supervisor: Dr. Rebecca Betensky
Employment Dates: Fall 2025
R is one of the most popular programming languages in statistics and data science. This course will introduce various R programming topics, including R objects, data visualization, data import & export, data manipulation, creating functions and iterations for statistical simulations, and writing high-quality reports with R Markdown. The course will focus on public health datasets as illustrations to best meet the practical needs of GPH students but is also open to those of other backgrounds. By the end of the course, students will be able to comfortably program in R for effective data preprocessing, analysis and presentation. This course does not require prior experience in programming or statistics and serves as a foundation for other courses in biostatistics, epidemiology, and data science.
Two sections are available:
  1. Wednesdays, 2:00-4:40pm, Sept 3 - Dec 10, 2025
  2. Mondays, 4:55-7:35pm, Sept 8 - Dec 8, 2025

Qualifications
Qualified applicants will have an advanced degree in statistics or a related field (PhD preferred). Previous experience teaching introductory statistics is preferred.
Application Instructions
If interested, please upload a CV and cover letter via interfolio.
In compliance with NYC's Pay Transparency Act, the hourly rate for this position is $222.27. New York University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as market and organizational considerations when extending an offer.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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