# Statistics & Data Science Intern at Cook Group

- Company: [Cook Group](https://cookgroup.com)
- Location: Bloomington, IN
- Type: Internship · Internship
- Posted: 2026-10-05
- Apply: https://americas-cookmedical.icims.com/jobs/19412/job?mobile=true&needsRedirect=false
- Page: https://newgrad.ai/jobs/statistics-data-science-intern-e6b611b1

## Summary by newgrad.ai

What you'll do:

- Evaluate manufacturing processes and identify improvement opportunities using statistical methods
- Apply advanced statistical techniques to analyze complex datasets for medical research
- Collaborate with engineering, production, and R&D teams across the organization
- Create data visualizations presenting statistical findings to technical and non-technical audiences

What they're looking for:

- Interest in life sciences career with initiative and strong teamwork abilities
- Passion for statistics and data analysis with basic statistical tools knowledge
- Minimum 2 statistics courses preferred; strong communication and presentation skills
- Students entering junior or senior year, or spring graduates; 3.0 GPA preferred
- Focus in statistics, mathematics, engineering, or related field

Pay and perks:

- 12-week paid internship mid-May through mid-August in Bloomington, Spencer, or Ellettsville
- 401(k) options, assigned mentor, capstone presentation, intern events
- Onsite: fitness center access, cafeteria, one-time housing stipend

## Posting

Overview

This position is a 12-week paid internship located in Bloomington, Spencer, or Ellettsville Indiana. It is offered for a period extending from mid-May through mid-August (exact dates depend on school calendars.) This position includes 401(k) options, an assigned mentor, capstone presentation, and intern events. If working onsite, you will also have access to a fitness center, an onsite cafeteria option, and a one-time housing stipend. All internships provide hands-on experience with meaningful projects in the Medical Device Manufacturing Industry.

### Responsibilities

As a Statistics and Data Science Intern, you'll be diving deep into the heart of medical manufacturing, ensuring the efficacy and reliability of our products. You'll be a part of our statistics and data science team, working on high-level inference and drawing powerful conclusions that will shape the future of medicine.

Key Responsibilities:

- Manufacturing Statistics: Evaluate manufacturing processes, identify areas of improvement, and assist in implementing statistical methods to increase quality and efficiency.

- Advanced Inference: Work with cutting-edge statistical techniques to derive insights from complex data sets, directly impacting medical research and development.

- Collaboration: Partner with a diverse team of experts across multiple functions, including engineering, production, and R&D.

- Data Visualization: Create compelling visual presentations to convey statistical findings to both technical and non-technical stakeholders.

### Qualifications

- All candidates should have an interest in a career in the Life Sciences field, a willingness to take initiative, and an ability to work well with others

- Passion for statistics and data analysis

- Basic understanding of statistical tools and techniques; preferred minimum of 2 statistics courses

- Strong communication skills and ability to present complex data simply

- Focus area of study in Statistics, Mathematics, Engineering or related field

- Candidates should be students entering their Junior or Senior year the following fall semester or entering graduate school; candidates who graduate the spring semester before this internship are also eligible

- A minimum GPA of 3.0 is preferred

- All candidates must provide proof of enrollment (including pre-registration certification for the following fall) for consideration

- Multiple disciplines will be considered (e.g., Marketing, Life Sciences, General Business, and Management)

From Cook Group's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.

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