Intern - Data Science, Generative AI

Parsippany, United States, New Jersey, 07054

Teva Pharmaceuticals

Learn how the Teva Pharmaceutical Company pushes the boundaries of scientific innovation and delivers quality medication for millions of patients every day.

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Who we are

Together, we’re on a mission to make good health more affordable and accessible, to help millions around the world enjoy healthier lives. It’s a mission that bonds our people across nearly 60 countries and a rich, diverse variety of nationalities and backgrounds. Working here means working with the world’s leading manufacturer of generic medicines, and the proud producer of many of the products on the World Health Organization’s Essential Medicines List. Today, at least 200 million people around the world take one of our medicines every single day. An amazing number, but we’re always looking for new ways to continue making a difference, and new people to make a difference with.

The opportunity

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 12 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. 

 

Location:  Parsippany, NJ
Length: May 20, 2025 – August 8, 2025
Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks 

How you’ll spend your day

•    During the 12 week program, you will gain in-depth insight into the Data Science & Analytics department.
•    Supported by a mentor and experienced colleagues, you will be directly involved in our daily business and be assigned tasks within diverse projects.
•    You will also play an important role in the development of concepts and initiatives within the US Commercial business unit.
•    Identify use cases for Generative AI for pharmaceutical commercial business
•    Develop prototypes for the identified use case
•    Data curiosity, problem solving skills, communication skills

Your experience and qualifications

•    Currently enrolled in an undergraduate program in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
•    Fundamental understanding and experience in machine learning, artificial intelligence (AI), generative AI, data analysis, or statistical modeling.
•    Proficiency in SQL and Python programming languages is preferred.
•    Familiarity with cloud environments (AWS, GCP, Azure, etc.) is a plus.
 

Already Working @TEVA?

If you are a current Teva employee, please apply using the internal career site available on "Employee Central". By doing so, your application will be treated with priority. You will also be able to see opportunities that are open exclusively to Teva employees. Use the following link to search and apply: Internal Career Site

The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner.

Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.
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Tags: AWS Azure Computer Science Data analysis Engineering GCP Generative AI Machine Learning Mathematics Pharma Python SQL Statistical modeling Statistics

Perks/benefits: Career development

Region: North America
Country: United States

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