Teva Intern - Trade Dress Digital Platform 

United States, Pennsylvania 

598469106

Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 8-week experience. You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program.

The main goal of this Internship is to create detailed tables in Excel to facilitate data cleansing for a mass upload to the Trade Dress Application Solution. The intern will gather information from various data sources and organize into structured tables in excel. The focus will be on ~ 400 pipeline projects and ~300 launched projects, with priority given to the pipeline projects.

Project Details:

Data Collection:

• Gather information from various individual forms, including but not limited to Excel spreadsheets and PDF documents.
• Identify and extract relevant fields from these documents, ensuring accuracy and completeness.
• Collect data from related websites and other external sources to supplement the information.
• Data Organization:
• Based on input provided by Marketing and IT teams, create structured tables in Excel to organize the collected data.
• Ensure that the tables are easy to navigate and understand, with clear headings and consistent formatting.

Focus on Pipeline Projects:

• Prioritize the collection and organization of data for the ~400 pipeline projects
• Ensure that all necessary information is captured for each pipeline project, by including all key metrics in the order provided by TD, Marketing team.

Inclusion of Launched Projects:

• Collect and organize data for ~ 300 launched projects.
• Ensure that the tables for launched projects are as detailed and comprehensive as those for pipeline projects.

Quality Assurance:

• Review the tables for accuracy and completeness.
• Make any necessary corrections or updates to ensure the data is reliable and up-to-date.
  

• Currently enrolled in BS program of Data Science, Computer Science, or related program.

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