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Internship R Statistical Programmer Jobs in Chicago, IL

This internship offers hands-on experience in data preprocessing, data analytics, and business ... Science, Engineering, Statistics, or a related field. * Good understanding of data structures ...

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Quality Engineer

Barrington, IL ยท On-site

$90K - $110K/yr

Title : Senior Quality Engineer Location : Lake Zurich, IL 60047 Hire Type : Direct Hire Salary ... Utilize statistical tools including correlation, regression, gage R&R, process capability, SPC, and ...

Student Intern

Downers Grove, IL ยท On-site

$20 - $25/hr

Duravant is a global engineered equipment company with an over 100-year operating history. Through ... About the Internship: We are seeking two motivated interns to support our Parts Pricing team ...

Student Intern

Downers Grove, IL ยท On-site +1

$20 - $25/hr

Duravant is a global engineered equipment company with an over 100-year operating history. Through ... About the Internship: We are seeking two motivated interns to support our Parts Pricing team ...

Collaborate with traders and developers to improve systems and workflows * Support operational and ... Proficiency in R, Python, and/or SQL * Familiarity with regression and foundational statistical ...

Quality Engineer

Carpentersville, IL ยท On-site

$95K - $105K/yr

Quality Engineer Blue Collar Carpentersville, IL. 60110 6:00 a.m. to 2:30 p.m. $95,000.00 - $105 ... Statistics: capability studies, Cpk/Ppk, DOE, gauge R&R, SPC, sampling plans and ability to ...

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Lead Data Scientist

Chicago, IL ยท On-site

$100K - $160K/yr

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

... and technical internship. * Education: Bachelor's degree in Business, Economics, Finance ... Familiarity with Python, R, or other statistical programming languages is a plus. * Solid ...

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... and technical internship. * Education: Bachelor's degree in Business, Economics, Finance ... Familiarity with Python, R, or other statistical programming languages is a plus. * Solid ...

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Director, Biostatistics

Chicago, IL ยท On-site

$190K - $260K/yr

... Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS ...

Advanced programming skills; mastery of a statistical language such as R or SAS; experience using other programming and data manipulation languages (SQL, Hive, Pig, Python, C/C++, Java); familiarity ...

Director, Biostatistics

Chicago, IL ยท On-site

$190K - $260K/yr

... Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS ...

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Internship R Statistical Programmer information

See Chicago, IL salary details

$87K

$151.7K

$256.5K

How much do internship r statistical programmer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for internship r statistical programmer in Chicago, IL is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $164,800.00 per year, depending on experience, location, and employer.

What is the difference between Internship R Statistical Programmer vs R Statistical Programmer?

AspectInternship R Statistical ProgrammerR Statistical Programmer
Required CredentialsTypically pursuing or recently completed a degree in statistics, biostatistics, or related fieldBachelor's or master's degree in statistics, biostatistics, or related field; professional experience preferred
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time, permanent role within pharmaceutical, biotech, or healthcare industries
Employer & Industry UsageUsed in academic, research, or entry-level industry settingsCommon in clinical research, pharmaceutical companies, and CROs

The main difference between an Internship R Statistical Programmer and an R Statistical Programmer is experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while R Statistical Programmers are full-time professionals responsible for developing and maintaining statistical programming in clinical trials or research projects.

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

To thrive as an Internship R Statistical Programmer, you need a solid background in statistics, programming with R, and data analysis, usually supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with RStudio, data visualization libraries (like ggplot2), and version control systems such as Git is typically expected. Attention to detail, problem-solving ability, and effective communication are vital soft skills that help you interpret data and collaborate with team members. These competencies ensure accurate data processing, meaningful statistical insights, and efficient teamwork on research or business projects.

What does an Internship R Statistical Programmer do?

An Internship R Statistical Programmer assists with data analysis, statistical modeling, and data visualization using the R programming language. Interns typically work under the supervision of experienced statisticians or data scientists, helping to clean and manage datasets, write scripts and code in R, and generate reports or graphics for research projects or business analyses. This role provides valuable hands-on experience in statistical programming and is often geared towards students or early-career professionals interested in data science or analytics.

What does a typical day look like for an Internship R Statistical Programmer, and how do interns collaborate with other team members?

As an Internship R Statistical Programmer, your typical day involves writing and testing R scripts to process and analyze data, often under the guidance of experienced programmers or statisticians. You'll participate in team meetings, contribute to code reviews, and work closely with data scientists, biostatisticians, or clinical research teams depending on the industry. Collaboration is key, as you'll frequently discuss analysis plans, clarify data requirements, and troubleshoot code alongside others. This role provides hands-on experience with real-world datasets and fosters growth in both technical and communication skills.
What are the most commonly searched types of R Statistical Programmer jobs in Chicago, IL? The most popular types of R Statistical Programmer jobs in Chicago, IL are:
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AI Analyst Intern

MJMC, Inc.

Homewood, IL โ€ข On-site

Full-time, Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking a motivated and analytical AI Analyst Intern to support our artificial intelligence labs initiative and data mining. This internship offers hands-on experience in data preprocessing, data analytics, and business intelligence insights. The ideal candidate is passionate about AI technologies, curious about solving real-world problems, and eager to learn in a collaborative environment.

Key Responsibilities:

  • Assist in data collection, cleaning, and preprocessing tasks for best AI fit analysis.
  • Support the development, testing, and evaluation of different AI solutions.
  • Research on how to create visuals and dashboards using tools like Python (Matplotlib, Seaborn), Power BI, or Tableau.
  • Collaborate with data analysts, engineers, and business analysts to understand project requirements.
  • Contribute to documentation of methodologies, model performance, and technical processes.
  • Conduct research on AI trends, tools, and industry applications to support ongoing innovation.
  • Perform quality checks and validation of AI outputs and data pipelines.
  • Create a final summary report after the end of the Internship program with best practices and recommendations.

Qualifications:

  • Currently pursuing a bachelorโ€™s or minor degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
  • Good understanding of data structures, algorithms, and statistical concepts.
  • Experience with Python or R; familiarity with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch is a plus.
  • Basic knowledge of SQL and database concepts.
  • Excellent analytical thinking and problem-solving abilities.
  • Strong communication and teamwork skills.
  • Curiosity and a willingness to learn quickly in a fast-paced environment.

Preferred Skills (Bonus):

  • Prior AI Project work performed at a school or university.
  • Familiarity with cloud platforms (AWS, Azure, GCP) or operating systems.
  • Prior coursework or projects related to machine learning or AI

Benefits:

  • Mentorship from experienced professionals in AI and Data Science.
  • Real-world project experience with measurable impact.
  • Networking opportunities with tech and analytics teams.
  • Possible pathway to a full-time role upon graduation.

Lanco is an equal opportunity employer. All employment-related decisions, including but not limited to hiring, compensation, promotion, discipline (including termination), evaluation, training and development opportunities, etc., are made without discrimination on the basis of race, color, sex, sexual orientation, gender-related identity, pregnancy, national origin, ancestry, religion, age, military status, protected disability, citizenship, genetic information or any other category protected by applicable law.