Clinical
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
- Pay: TBD
- During the 12-week program, you will gain in-depth insight into the Clinical Programming 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 Clinical & Statistical Programming business unit.
- You will perform development of conversion programs using R Programming language.
- You will help prepare datasets and outputs for internal review and regulatory submissions.
- You will learn and apply clinical data standards using CDISC/SDTM in a real-world setting.
- Currently enrolled in a BA/BS program in Computer Science or a related field
- Proficient in R programming and basic data analysis concepts
- Strong attention to detail and willingness to learn in a regulated environment
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