
Intern, Statistics, Data Science
Cook Group
internship
Posted on:
Location Type: Office
Location: Bloomington • 🇺🇸 United States
Visit company websiteJob Level
Entry Level
Tech Stack
Spring
About the role
- 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.
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
- 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)
Benefits
- 401(k) options
- an assigned mentor
- capstone presentation
- intern events
- access to a fitness center
- an onsite cafeteria option
- a one-time housing stipend
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
statistical methodsdata analysisstatistical toolsstatistical techniquesdata visualizationmathematicsengineering
Soft skills
communication skillsteamworkinitiativepresentation skills