Quality & Compliance Internship at Johnson & Johnson for students pursuing a career in medical devices or pharmaceuticals. Gaining experience in risk management, data analytics, and project leadership.
Responsibilities
Leading projects within various focus areas using digitalization and data analytics to drive simplicity, innovation, and efficiency
Gaining an understanding of proactive risk management concepts and identifying potential risks
Developing foundational knowledge of proactive risk management and learning how to apply risk management basics
Building or improving your personal brand through skills building workshops and networking mixers
Sharpening leadership and presentation skills by presenting learnings and development experience to peers and leadership
Empowering community engagement and support within local communities through participation in community activities
Digital Product Analysis: Understand and analyze end-to-end business processes and translate needs into digital solutions by building out product backlogs in the form of user stories
Data Collection & Management: Assist in collecting, cleaning, and preparing datasets for analysis from various sources such as databases, APIs, and spreadsheets
Data Analysis: Perform statistical analysis and data mining to identify patterns, correlations, and insights in business data
Reporting: Develop visualizations and dashboards using tools such as Tableau, Power BI, or Excel to communicate data findings to key stakeholders
Support Decision-Making: Gain technical understanding of the function and assist in analyzing their data to support business decisions and pivotal initiatives
Collaboration: Work cross-functionally with other departments to manage projects and work assignments
Requirements
Enrollment in an accredited college/university during the Internship
Have a cumulative GPA of 3.4 or higher within current degree program
Pursuing a bachelor's, master’s degree, or PhD in life science, analytical science, data science, regulatory compliance or regulatory affairs, computer science, mathematics, statistics, economics, engineering, or technology related field
Basic proficiency in data analysis tools
Proficiency in the Microsoft Suite of applications (Excel, PowerPoint, etc) is required
Ability to clearly present data findings and interpretations to both technical and non-technical partners
Ability to break down challenging problems into manageable components and derive actionable insights
Basic understanding of statistical concepts such as regression analysis, hypothesis testing, and data distributions
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