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R Programmer Jobs in Georgia (NOW HIRING)

Senior Powertrain Engineer

Evans, GA · On-site

$88K - $121K/yr

Drive diligence and collaboration in requirements, risk analysis, DFMEA, DVP&R, engineering change notice and specifications. * Employ project management methodologies that ensure a predictable ...

Statistical Programmer II

Hapeville, GA · On-site

$90K - $100K/yr

Experience with R, Python, SQL, Git, or other modern programming/version control tools. * Experience with SAS Enterprise Guide or other SAS-based clinical programming environments. * Experience ...

Statistical Programmer II

Atlanta, GA · On-site

$90K - $100K/yr

Experience with R, Python, SQL, Git, or other modern programming/version control tools. * Experience with SAS Enterprise Guide or other SAS-based clinical programming environments. * Experience ...

Experience with R, Python, SQL, Git, or other modern programming/version control tools. * Experience with SAS Enterprise Guide or other SAS-based clinical programming environments. * Experience ...

As a CMM Programmer within Inalfa, you are in the driver's seat for maintaining the quality and ... Assists in design and development of gages to assure compliance to GD&T and GR&R. Assists in ...

... R studies and measuring system analysis • Work with Quality and Machining teams to resolve part, material, and process-related issues • Ensure compliance with APQP documentation and quality ...

Grow sales of B&R's complete product range in the territory by working on new and existing sales opportunities * Identify, define, and develop the best technical solution and strategy for ...

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R Programmer information

See Georgia salary details

$67.6K

$104.7K

$127.5K

How much do r programmer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for r programmer in Georgia is $104,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $117,800.00 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.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Proficiency in data visualization, statistical modeling, and tools like RStudio increases employability, with many roles requiring experience in data manipulation and analysis.

What jobs require R programming?

Jobs that require R programming include data analyst, data scientist, biostatistician, research scientist, and statistical programmer roles. These positions often involve data analysis, statistical modeling, and visualization, and may require knowledge of related tools like RStudio and packages such as ggplot2 or dplyr.

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.

What tech jobs pay $400,000 a year?

For R programmers, high-paying roles such as senior data scientists, machine learning engineers, or quantitative analysts can reach or exceed $400,000 annually, especially in finance, tech, or consulting firms. These positions typically require advanced skills in statistical modeling, programming, and experience with big data tools, often supplemented by advanced degrees and certifications. Compensation varies based on experience, location, and company size.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Data scientists and statisticians often use R alongside tools like RStudio and packages such as ggplot2 and dplyr, maintaining its relevance in research, academia, and industry. Proficiency in R continues to be valuable for roles requiring data manipulation and statistical modeling.
What are the most commonly searched types of R Programmer jobs in Georgia? The most popular types of R Programmer jobs in Georgia are:
What are popular job titles related to R Programmer jobs in Georgia? For R Programmer jobs in Georgia, the most frequently searched job titles are:
What are popular job titles related to R Programmer jobs in GA? For R Programmer jobs in GA, the most frequently searched job titles are:
Infographic showing various R Programmer job openings in Georgia as of July 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, 5% Contract, 1% Nights, and 1% Summer. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,703 per year, or $50.3 per hour.
Postdoctoral Teaching Fellow, Biology & Quantitative Methods

Postdoctoral Teaching Fellow, Biology & Quantitative Methods

Emory University

Oxford, GA • On-site

$60K/yr

Full-time

Re-posted 27 days ago


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Job description

Description
Located 36 miles east of Atlanta on Emory's original campus in Oxford, Georgia, Oxford College of Emory University invites applications for a postdoctoral teaching fellow in Biology and R programming, to begin in August 2025. The salary for the fellowship is $60,000, and Postdoctoral Teaching Fellows will be eligible for the same benefits as regular faculty. This position is annually renewable, for up to three years.
Position Description
The fellow will teach introductory courses in biology and R programming to first- and second-year undergraduate students, receive structured mentoring and professional development to prepare for a full-time faculty position at a teaching-intensive institution, receive training in inclusive pedagogy, support for research and grant writing, and have opportunities to engage in the academic, social, and cultural life of Oxford College.
We will consider applicants from a broad range of biological subfields, as long as the candidate has experience with data analysis in the R programming language. The successful candidate will teach both "Foundations of Modern Biology I" (which includes a lab and covers topics in cellular and molecular biology, genetics, biodiversity, and evolution) and "Statistical Computing I" (an applied introduction to data analysis in R that does not require any formal computer science background to teach). The latter course is housed in the Quantitative Theory and Methods (QTM) department. The teaching load for this position will be the equivalent of one lecture and two lab sections (Biology) in the fall and up to three lecture sections (QTM) in the spring. Structured support and mentoring will be provided for both courses by senior members of the departments.
The goal of the postdoctoral teaching fellow program is to support the mentoring of fellows and equip them with skills for a full-time faculty position at a teaching intensive institution. As such, the primary focus of this program is to support the pedagogical development of the fellow and the advancement of a research program is not required or expected. However, interested fellows will also have the opportunity to mentor undergraduate research students, collaborate on research projects with existing faculty, and/or conduct independent research. Logistical and financial support is available for these endeavors.
Qualifications
Required - A recent Ph.D. in a biological science or a related discipline. The candidate must have the degree awarded no later than August 2025. Candidates must also have experience using R to analyze data.
Desirable - Knowledge of the tidyverse for data analysis and visualization in R. Candidates with demonstrated commitment to inquiry-based teaching and student-centered learning are particularly encouraged to apply.
Application Instructions
Candidates should submit the following via Interfolio:
  • Cover letter (1-2 pages) that describes their qualifications for the position; how this position fits into their long-term career goals; as well as their interest in working at a liberal arts college with first- and second-year students

  • Current curriculum vitae (CV)

  • Statement of teaching (1-3 pages) that outlines the candidate's core classroom philosophies, strategies, and approaches; these should include how they will inclusively serve a diverse group of undergraduate students.

  • Names and contact information of two potential references (candidates who advance to the semi-finalist stage will be asked to provide two letters of recommendation)

  • Unofficial graduate school transcripts

  • Please DO NOT include a separate research statement. Candidates will be evaluated on their potential to develop into excellent teachers. However, if this position offers any specific advantages to your research program you may mention these benefits briefly in the cover letter.
  • Evaluation of candidates will begin March 1st, 2025, and will continue until the position is filled. Inquiries may be directed to Dr. Emily McLean (emily.mclean@emory.edu).
    Overview of Oxford Postdoctoral Fellowship Program
    Oxford College strives to become a model of the future of liberal arts education by investing in, advancing, and innovating high-impact teaching practices, redefining the teacher-scholar model, and elevating "beyond the classroom" experiences for our first- and second-year undergraduate students. To achieve our vision to lead the way in best-in-class pedagogical practices, we aim to recruit world-class instructor who are teachers first and committed to academic excellence, compelling pedagogy, and positive social change. The fellowship is a one-year fellowship, renewable annually pending a successful performance review, for up to 3 years total. This opportunity will help prepare postdoctoral fellows for a long-term position at a teaching-focused liberal arts institution. The fellow will receive:
    • professional development to prepare for a full-time faculty position at a teaching-intensive institution;

    • training in inclusive pedagogy and support for research and grant writing;

    • financial support for scholarly and pedagogical development activities; and

    • opportunities to engage in the academic, social, and cultural life of Oxford College.

    Who we are
    One of Emory University's four schools partnering in undergraduate education, Oxford College provides 975 first- and second-year students of high academic profile an intensive liberal-arts program for the first two years of their Emory bachelor's degree. We are interested in candidates with a commitment to working with a student body in an inclusive learning community that values excellence in teaching and close student-faculty interaction.
    For more information about Oxford College and for a full listing of open positions, visit http://oxford.emory.edu/hiring.
    Oxford College's resources support high-impact practices in teaching and learning, including the Oxford Science Building, which opened in 2016, an intentionally designed space that promotes student-faculty collaboration, scholarship, and innovative teaching in STEM, and the Oxford Center for Teaching and Scholarship for faculty development.

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