Paid Statistics & Data Science Intern (Medical Devices)

Cook Inc - Bloomington; Bloomington (IN); On-site; USD 36,000 - 54,000; Full time

Benefits offered by this job

401(k) options

an assigned mentor

capstone presentation

intern events

access to a fitness center

onsite cafeteria option

one-time housing stipend

Job summary

Cook Inc - Bloomington offers a 12-week paid internship in Statistics and Data Science in Bloomington, IN, with opportunities to work in medical device manufacturing. The role provides hands-on experience in statistics, data analysis, and visualization on meaningful projects.

You will collaborate across engineering, production, and R&D, presented capstone findings with a mentor, and benefit from housing stipend and onsite amenities during the internship.

Qualifications

• Interest in a career in Life Sciences and ability to work with others.
• Passion for statistics and data analysis.
• Basic understanding of statistical tools and techniques.
• Strong communication skills to present complex data simply.
• Focus area of study in Statistics, Mathematics, Engineering or related field.
• Student targeting junior/senior year or graduate school; GPA 3.0 preferred.

Responsibilities

• Manufacturing Statistics: evaluate processes, identify improvements, apply statistics to boost quality and efficiency.
• Advanced Inference: use statistical techniques to derive insights from complex data sets.
• Collaboration: work with engineering, production, and R&D teams.
• Data Visualization: create visual presentations of statistical findings for stakeholders.

Skills

Interest in Life Sciences

Statistics

Data analysis

Data visualization

Communication skills

Education

Focus area of study: Statistics, Mathematics, Engineering or related field

Tools

Statistical software

Job description

Cook Inc - Bloomington offers a 12-week paid internship in Statistics and Data Science in Bloomington, IN, with opportunities to work in medical device manufacturing. The role provides hands-on experience in statistics, data analysis, and visualization on meaningful projects.

You will collaborate across engineering, production, and R&D, presented capstone findings with a mentor, and benefit from housing stipend and onsite amenities during the internship.