Intern, Statistics & Data Science

Cook Group•Bloomington, IN

6d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

A minimum GPA of 3.0 is preferred
Multiple disciplines will be considered (e.g., Marketing, Life Sciences, General Business, and Management)

Responsibilities

Evaluate manufacturing processes, identify areas of improvement, and assist in implementing statistical methods to increase quality and efficiency.
Work with cutting-edge statistical techniques to derive insights from complex data sets, directly impacting medical research and development.
Partner with a diverse team of experts across multiple functions, including engineering, production, and R&D.
Create compelling visual presentations to convey statistical findings to both technical and non-technical stakeholders.