Intern - R&D, Statistics

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:  West Chester, PA
Length: minimum of 12 weeks (TBD during mid-May through mid-August)
Schedule: You must be available to work a 40-hour work week (onsite) for 12 weeks 

How you’ll spend your day

Tasks & responsibilities
•    During the 12-week program, you will gain in-depth insight into the Global Statistical and Data Sciences (GSD) department.
•    Supported by a mentor and experienced colleagues within the Real-World Evidence (RWE) Statistics and Data Science group, you will be directly involved in our daily business and assigned an applied research project that involves innovative statistical methods using real world data (RWD) and/or clinical trial data.
•    You will produce deliverables, including, but not limited to, internal presentation, report of research study results, optional oral/poster presentation at external conferences and optional manuscript
•    You will also play an important role in the development of concepts and initiatives within the business unit.

Your experience and qualifications

Qualifications
•    Currently enrolled in PhD program of biostatistics, statistics, data science or relevant fields  
•    Proficient in R or Python
•    Fundamental understanding and experience in traditional statistical modeling, such as regression, survival analysis, multiple imputation, etc. 
•    Fundamental understanding and implementation experience in machine learning and/or deep learning algorithms
•    Experience in working with RWD and/or clinical trial data preferred
 

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.