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R Programmer Jobs (NOW HIRING)

Description As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You'll integrate ...

NAND Q&R Engineer

Cupertino, CA · On-site

$147K - $272K/yr

Description As an Apple NAND Q&R Engineer, you will shape the future of Apple's mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You'll integrate ...

... R programming, machine learning, SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of ...

Physical Layout Designer

Somerset, NJ · Hybrid

$60K - $120K/yr

Health insurance EG&R Engineering PC is a fast-growing multi-disciplinary engineering firm located in Somerset, NJ. EG&R provides electrical engineering and contracting services for a variety of ...

CNC Programmer

Ludlow, MA

$27.75 - $38/hr

B & R Machine, Inc. * Location: Ludlow, MA (On-Site) * Job Type: Full-Time * Pay Range: Competitive, based on experience * Experience Level: Mid-Level (3+ years CNC programming) * CAM Software:

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R Programmer information

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$80K

$124K

$151K

How much do r programmer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for 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 an R Programmer Do?

An R programmer works with a unique computer language called R to perform duties such as statistical computing and data collection and analysis with the goal of optimization for a business. As an R programmer, you can use this language, which is open source, to create graphical representations or simulations of data as well as conduct analysis of that data. Other job duties include designing statistical models, formulating procedures, and providing technical assistance for clients. In this role, you can use your computer code knowledge to develop tools for a variety of different fields, from machine learning to statistical analysis for businesses to data mining for technology companies.

What are some common challenges R Programmers face when collaborating on data analysis projects within a team?

R Programmers often work closely with data scientists, analysts, and other programmers, which can present challenges such as ensuring code reproducibility, maintaining clean documentation, and managing version control. It's important to write clear, well-commented scripts and use tools like Git to facilitate collaboration. Additionally, integrating R code with other technologies or platforms may require extra coordination with team members who specialize in different languages or systems. Addressing these challenges can lead to smoother workflows and more reliable project outcomes.

What is the difference between R Programmer vs Data Analyst?

AspectR ProgrammerData Analyst
Required SkillsProficiency in R, statistical analysis, data visualizationData manipulation, basic statistical skills, Excel, SQL
CertificationsOften no formal certification, but R programming courses preferredCertifications like CAP, Microsoft Excel certifications common
Work EnvironmentData science teams, research labs, tech companiesBusiness, marketing, finance departments across industries
Industry UsageTech, healthcare, research institutionsFinance, retail, healthcare, consulting

While both R Programmers and Data Analysts work with data, R Programmers focus more on coding in R for statistical analysis and visualization, often in research or data science teams. Data Analysts typically handle data manipulation and reporting in business contexts, using a broader set of tools. The roles overlap in data skills but differ in technical depth and application focus.

What are R Programmers?

R Programmers are professionals who use the R programming language to analyze data, create statistical models, and develop data-driven solutions. They often work in fields like data science, research, finance, and healthcare, leveraging R's extensive libraries for data manipulation, visualization, and statistical analysis. R Programmers may also build custom tools and automate data workflows to help organizations make informed decisions. Their expertise in R makes them valuable for tasks involving large datasets, predictive modeling, and reporting.

What are the key skills and qualifications needed to thrive as an R Programmer, and why are they important?

To thrive as an R Programmer, you need strong programming skills in R, a solid understanding of statistics, and typically a degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries like dplyr and ggplot2, experience with version control systems such as Git, and knowledge of databases are commonly required. Attention to detail, problem-solving abilities, and effective communication help R Programmers stand out when working with diverse data sets and collaborating with teams. These skills are essential for accurately analyzing data, developing robust solutions, and supporting data-driven decision making.
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NAND Q&R Engineer

$181K - $318K/yr

Full-time

Medical, Dental, Retirement

Posted yesterday


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could create at Apple. Here, groundbreaking ideas evolve rapidly into products, services, and experiences that transform industries. Bring your technical mastery, analytical mindset, and creative energy-there’s no limit to what you can accomplish. At Apple, you’ll collaborate with forward-thinking engineers who pair innovation with precision, combining deep coding expertise, advanced reliability data analysis, and cutting-edge technology to redefine what’s possible. Our shared mission: to deliver meaningful innovation and leave the world better than we found it!
Description
As an Apple NAND Q&R Engineer, you will shape the future of Apple’s mass storage architecture by leveraging your coding, data analytics, and Q&R engineering expertise. You’ll integrate statistical insight with hardware quality and reliability data to optimize flash memory technologies and influence how Apple devices achieve industry-leading performance and reliability. Working across EPM, product engineering, test, and supplier teams, you’ll help translate complex data into actionable reliability improvements and next-generation product solutions.","responsibilities":"Drive vendor NAND die development to meet Apple’s standards for quality and reliability.
Lead collaborative investigations of NAND device quality and reliability issues using data-driven root-cause analysis.
Present trend analyses, risk assessments, and technical recommendations to cross-functional stakeholders and leadership.
Apply statistical modeling and data visualization techniques to detect anomalies and guide issue resolution.
Develop and implement automated scripts and tools (Python, SQL, or similar) to analyze NAND device quality and reliability data at scale.
Preferred Qualifications
MS or PhD in a technical discipline with 10+ years of relevant industry experience.
Programming background in Python, MATLAB, or equivalent languages for data processing and system analysis.
Proficiency in automating data analysis workflows and developing data pipelines for Q&R evaluation.
Experience correlating NAND device parameters with product-level Q&R through coding and analytics tools.
Familiarity with multiple lithography and process technologies from concept through qualification.
Deep understanding of NAND system architecture for embedded or SSD designs and competitor benchmarking.
Exceptional analytical judgment, technical communication, and problem-solving skills.
Minimum Qualifications
Bachelor’s degree in Electrical Engineering, Computer Engineering, or related technical field.
Experience in NAND development, characterization, or process engineering.
Experience with statistical data analysis and large dataset interpretation.
Experience in NAND qual testing, failure analysis and/or debugging.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976