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Entry Level R Programming Jobs in Wisconsin (NOW HIRING)

Farm Systems

Quantitative Geneticist

Madison, WI · On-site

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

HDR

Utility Data and Modeling Analyst

Madison, WI · On-site

About The Role HDR is seeking an entry-level Utility Data, Asset Management & Hydraulic Modeling ... Data Engineering, Analytics & Visualization * Perform data acquisition, cleaning, validation, and ...

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Entry Level R Programming information

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$14

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$79

How much do entry level r programming jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for entry level r programming in Wisconsin is $26.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $23.27 per hour, depending on experience, location, and employer.

Is R still used in 2026?

R remains a widely used programming language for data analysis, statistical computing, and visualization in 2026. Entry level R programming roles continue to require knowledge of data manipulation, statistical methods, and tools like RStudio, making it valuable for careers in data science and analytics.

What are the key skills and qualifications needed to thrive in the Entry Level R Programming position, and why are they important?

To thrive as an Entry Level R Programming professional, you should have a solid understanding of R programming fundamentals, data manipulation, and basic statistical analysis, often supported by a relevant degree in statistics, computer science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and data visualization packages (e.g., ggplot2) is commonly required; certifications in data analysis or R can be advantageous. Attention to detail, problem-solving abilities, and effective communication skills help you work efficiently within a collaborative team environment. These competencies are crucial to accurately analyze data, provide actionable insights, and contribute effectively to projects from the outset.

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing entry-level R programming jobs due to high competition, limited work experience, and evolving skill requirements such as proficiency in data analysis tools and programming languages. Building relevant skills, certifications, and practical experience can improve job prospects for this demographic.

What is an Entry Level R Programming job?

An Entry Level R Programming job is a position designed for beginners who use R for data analysis, statistical computing, and visualization. These roles are typically found in industries like finance, healthcare, and tech, where data-driven decision-making is crucial. Responsibilities may include cleaning datasets, writing basic R scripts, and generating reports or visualizations. Employers usually seek candidates with a degree in statistics, data science, or a related field, along with foundational knowledge of R and data manipulation libraries like dplyr and ggplot2.

What types of projects do entry-level R Programmers typically work on?

Entry-level R Programmers are often involved in supporting data analysis projects such as cleaning datasets, creating visualizations, building simple statistical models, and preparing reports for stakeholders. They commonly assist senior analysts or data scientists by conducting exploratory data analysis, automating repetitive data tasks, or updating existing R scripts. While responsibilities can vary by industry, close collaboration with team members and learning from more experienced colleagues are standard aspects of the role. This hands-on exposure provides an excellent foundation for developing deeper technical skills and advancing to more complex projects over time.

What jobs pay $10,000 a month without a degree?

Entry-level R programming roles typically do not pay $10,000 a month without significant experience or specialized skills. High-paying jobs in data analysis, software development, or consulting often require advanced expertise, certifications, or a strong portfolio, and may not be accessible at an entry level without a degree. Most high-paying positions in tech or data fields usually prefer candidates with formal education or proven skills.

What jobs pay $2000 a day?

In the context of entry-level R programming roles, high-paying opportunities are rare and typically require extensive experience or specialized skills. Most entry-level data analysis or programming jobs pay significantly less, but freelance consulting or contract work involving R can sometimes reach or exceed $2000 per day for highly skilled professionals. Building expertise in data science, statistical analysis, and tools like RStudio can increase earning potential over time.
What are the most commonly searched types of R Programming jobs in Wisconsin? The most popular types of R Programming jobs in Wisconsin are:
What are popular job titles related to Entry Level R Programming jobs in Wisconsin? For Entry Level R Programming jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Entry Level R Programming jobs in Wisconsin look for? The top searched job categories for Entry Level R Programming jobs in Wisconsin are:
Entry Level R Programming jobs near you
Infographic showing various Entry Level R Programming job openings in Wisconsin as of June 2026, with employment types broken down into 72% Full Time, 21% Part Time, and 7% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $56,114 per year, or $27 per hour.

Quantitative Geneticist

Farm Systems

Madison, WI • On-site

Full-time

Posted 18 days ago

Job description

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. 

Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI. 

RESPONSIBILITIES 

Research and Development 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.

  • Utilize genomic data and/or machine learning to enhance prediction models. 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently. 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility. 

Technical and Operational Support 

  • Provide technical and operational support to URUS breeding programs to improve output and efficiency. 

  • Interpret genetic evaluation results and communicate upcoming changes. 

  • Monitor and troubleshoot trends in genetic rankings and performance data. 

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field. 

  • Knowledge of dairy or beef cattle production preferred. 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.


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