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Statistical Programming Intern Jobs in Ann Arbor, MI

Manufacturing Intern

Detroit, MI

$16.75 - $22/hr

... or welding engineering. * Ability to use MS Office, MiniTab, AutoCAD & other analytical and ... Possesses strong analytic and statistic skills * Has the ability to work independently

Manufacturing Intern

Detroit, MI · On-site

$16.75 - $22/hr

... or welding engineering. * Ability to use MS Office, MiniTab, AutoCAD & other analytical and ... Possesses strong analytic and statistic skills * Has the ability to work independently

Manufacturing Intern

Detroit, MI

$16.75 - $22/hr

... or welding engineering. * Ability to use MS Office, MiniTab, AutoCAD & other analytical and ... Possesses strong analytic and statistic skills * Has the ability to work independently

Manufacturing Intern

Detroit, MI · On-site

$16.75 - $22/hr

... or welding engineering. * Ability to use MS Office, MiniTab, AutoCAD & other analytical and ... Possesses strong analytic and statistic skills * Has the ability to work independently

One month's experience as Intern, Engineer, or related, applying DMAIC and Six Sigma methodology, based on statistical tools such as Pareto Chart, Statistical Process Control (SPC), and Process ...

One month's experience as Intern, Engineer, or related, applying DMAIC and Six Sigma methodology, based on statistical tools such as Pareto Chart, Statistical Process Control (SPC), and Process ...

Statistical Programming Intern information

See Ann Arbor, MI salary details

$13.7K

$85.2K

$165K

How much do statistical programming intern jobs pay per year?

As of Aug 11, 2026, the average yearly pay for statistical programming intern in Ann Arbor, MI is $85,249.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,349.00 and $128,951.00 per year, depending on experience, location, and employer.

What does a statistical programming intern do?

A Statistical Programming Intern assists in analyzing data and creating statistical reports, often using software languages like SAS, R, or Python. They help design and implement data analysis plans, support senior statisticians or data scientists, and ensure data quality and integrity. Their work is crucial in fields like clinical research, finance, and marketing, where data-driven decision-making is essential. Interns gain hands-on experience with real-world datasets and learn best practices in data management and statistical analysis.

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

AspectStatistical Programming InternData Analyst Intern
Required SkillsProgramming (R, SAS, Python), statistical methodsData analysis, Excel, SQL, visualization
Work EnvironmentPharmaceutical, biotech, or research labsBusiness, marketing, or finance sectors
Typical TasksData cleaning, statistical modeling, programmingData interpretation, reporting, dashboards

Both roles often require programming and data skills, but Statistical Programming Interns focus more on statistical modeling and programming tasks within research environments, while Data Analyst Interns handle broader data analysis and reporting in business settings. They share similar entry-level requirements but differ in industry focus and daily responsibilities.

What types of projects or tasks can a statistical programming intern expect to work on during their internship?

As a Statistical Programming Intern, you will typically assist with data cleaning, preparation, and analysis for ongoing research or clinical studies. You might be responsible for writing and testing code in SAS, R, or Python to generate tables, listings, and figures, as well as supporting the development of statistical analysis plans. Interns often collaborate closely with biostatisticians, data managers, and clinical teams to ensure high-quality data outputs. This role offers valuable exposure to real-world datasets and best practices in statistical programming, providing a solid foundation for future roles in data science or biostatistics.

What are the key skills and qualifications needed to thrive as a statistical programming intern, and why are they important?

To thrive as a Statistical Programming Intern, you need a solid grounding in statistics, programming (often with R or SAS), and data analysis, typically supported by coursework or a degree in statistics, mathematics, or a related field. Familiarity with statistical software, version control systems like Git, and database tools is highly beneficial, alongside any relevant certifications in programming languages or analytics platforms. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting data and collaborating with team members. These skills are important because they enable interns to accurately analyze data, contribute to research projects, and support informed decision-making in data-driven environments.
What are the most commonly searched types of Statistical Programming jobs in Ann Arbor, MI? The most popular types of Statistical Programming jobs in Ann Arbor, MI are:
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Infographic showing various Statistical Programming Intern job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% Internship, 73% Full Time, 20% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $85,249 per year, or $41 per hour.

Manufacturing Intern

fng

Detroit, MI

$16.75 - $22/hr

Internship

Posted 7 days ago


Job description

Summary

The intern hired for this position should expect to learn all facets of consistent with the area of study and will leave this position with invaluable skills and industry knowledge.

 Core Competencies 
  • Ability to work independently without supervision
  • Strong written, verbal, analytical, and interpersonal skills
  • Strong computer skills
  • Flexibility
  • Reliability
  • Detail oriented
  • Organization skills
 Job Duties
  • Exposure to all relevant duties consistent with the department for which the Intern is working

 

Requirements

  • Must be a major in area of studies such as mechanical, electrical, industrial, chemical, manufacturing or welding engineering.
  • Ability to use MS Office, MiniTab, AutoCAD & other analytical and planning tools.
  • Possesses strong analytic and statistic skills
  • Has the ability to work independently