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R Programming Intern Jobs in Colorado (NOW HIRING)

Cambridge Swinerton Builders

Drywall Estimator

Arvada, CO · On-site

$110K - $130K/yr

P OSITION R ESPONSIBILITIES AND D UTIES : Key Responsibilities: * Simultaneously Leads one or more ... Train and develop Intern and Interim Project Engineers * Spearheads and maintains historical costs ...

Swinerton Incorporated

Drywall Estimator

Arvada, CO · On-site

$110K - $130K/yr

P OSITION R ESPONSIBILITIES AND D UTIES : Key Responsibilities: * Simultaneously Leads one or more ... Train and develop Intern and Interim Project Engineers * Spearheads and maintains historical costs ...

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R Programming Intern information

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

To thrive as an R Programming Intern, you need a solid understanding of R programming, data analysis, and statistical concepts, often supported by coursework in statistics, data science, or a related field. Familiarity with tools such as RStudio, version control systems like Git, and packages like dplyr and ggplot2 is typically required. Strong problem-solving skills, attention to detail, and effective communication set standout interns apart. These competencies are crucial for accurately analyzing data, collaborating with teams, and contributing meaningful insights to projects.

What types of projects and tasks can I expect to work on as an R Programming Intern?

As an R Programming Intern, you'll typically assist with data cleaning, analysis, and visualization tasks using R. You may work on real datasets, develop scripts to automate data workflows, and contribute to reporting or dashboard creation. Collaboration is common—you'll likely partner with data scientists, analysts, or research teams, gaining practical experience in both technical coding and teamwork. This hands-on exposure helps you build a strong foundation in both R programming and the broader field of data analysis.

What does an R Programming Intern do?

An R Programming Intern typically assists in analyzing data, writing scripts, and developing reports using the R programming language. They support data science or analytics teams by cleaning data, running statistical analyses, and visualizing results. Interns may also help automate routine tasks and contribute to ongoing research or business projects, gaining valuable experience in coding and data interpretation. This role is ideal for students or recent graduates interested in data science, statistics, or software development.

What is the difference between R Programming Intern vs Data Analyst Intern?

AspectR Programming InternData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge, some R or Python
Work EnvironmentData-focused projects, research teams, tech companiesBusiness insights, reporting, cross-department collaboration
Common UsageData analysis, statistical modeling, researchData interpretation, reporting, decision support

While both roles involve working with data, an R Programming Intern primarily focuses on statistical analysis and data visualization using R, often in research or technical environments. A Data Analyst Intern may use R but also relies heavily on tools like Excel and SQL for broader data interpretation and reporting. The R Programming Intern role is more specialized in programming and statistical modeling, whereas the Data Analyst Intern role emphasizes data-driven decision-making across various business functions.

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R Programming Intern jobs near you
Biostatistics Internship (EDG-2026032)

Biostatistics Internship (EDG-2026032)

Edgewise Therapeutics

Boulder, CO

$20/hr

Full-time, Internship

Posted 24 days ago

Job description

Biostatistics Internship
About Edgewise Therapeutics:
At Edgewise, we are on a mission to discover new medicines that improve the lives of patients facing serious muscle disease. Our intimate knowledge of muscle biology and biophysics along with our ability to identify and design muscle specific precision small molecules have enabled us to rapidly advance our skeletal muscle and cardiac muscle product candidates into the clinic while also building a robust pre-clinical pipeline. With this focus on therapeutics designed to protect and improve muscle health, our goal is to dramatically enhance the lives of people living with progressive muscle disorders.
We have assembled an experienced and highly motivated leadership team with a strong track record in the biotechnology and pharmaceutical industry to build the leading, global muscle disease biopharmaceutical company. Come join us make a significant difference in the lives of patients!
Position Summary:
The Biostatistics intern will contribute to the development and application of innovative statistical methods for high-dimensional causal inference and machine learning to evaluate the effectiveness of therapeutics on health outcomes in serious skeletal and cardiac muscle diseases. This work will involve the analysis of high-dimensional biological data, with a focus on identifying treatment effects and improving understanding of disease mechanisms through advanced quantitative methods.
Key Responsibilities:
  • Clean, manage, and analyze complex, high-dimensional datasets using programming tools such as SAS, R and Python
  • Apply statistical, causal inference, and machine learning methods to real-world biomedical data
  • Develop reproducible workflows for data processing and analysis
  • Summarize findings through written reports and visualizations
  • Present analytical approaches and results to interdisciplinary team members
  • Review and summarize relevant scientific literature to inform ongoing research
  • Collaborate with team members on research design, methodology, and interpretation of results
  • Read, understand, and comply with all workplace health and safety policies; safe work practices; and company policies and procedures.
  • Perform other duties as assigned by supervisor.
Requirements:
Education, Experience, Skills:
  • Currently enrolled in a Doctorate program in Biostatistics, Statistics, Data Science, or a related quantitative field
  • Proficiency in programming languages such as SAS, R and/or Python
  • Strong foundation in statistical methods and data analysis
  • Experience or familiarity with causal inference methods
  • Experience or interest in machine learning methods, particularly for high-dimensional data
  • Ability to work with complex and large-scale datasets
  • Strong problem-solving and analytical skills
  • Effective written and verbal communication skills
  • Ability to work both independently and collaboratively in a team environment
  • Prior experience analyzing biomedical or high-dimensional datasets
  • Coursework or research experience in biostatistics, statistics, data science, or related field
  • Familiarity with causal inference frameworks and/or machine learning methods
  • Experience with data visualization and scientific reporting
Candidate must be located in Colorado.

Salary range: $20/hour; internship runs for 8-10 weeks
There is no deadline because the employer accepts applications on an ongoing basis.
Edgewise does not accept resumes from recruitment agencies for this position. Please do not send resumes to Edgewise employees or the company location. Edgewise is not responsible for any fees related to unsolicited resumes.

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