Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie interns.
Product Development, Science and Technology (PDS&T) is the intersection of technical excellence and business impact. We are champions of product innovation and process knowledge to solve AbbVie's most complex technical challenges to successfully support late-phase products, commercialize our pipeline, ensure the quality and efficacy of our products, make a direct impact on patient health and well-being.
The PDS&T Analytical Sciences group develops, optimizes, validates and transfers new robust analytical methods to support the late-stage development pipeline programs and commercial products. During a summer in the Analytical Sciences group within PDS&T, the intern will own a technical project focused on chromatography based analytical method developments for polymer characterization, address manufacturing and process challenges, and facilitate new technologies development. You will have the opportunity to independently design and execute analytical methods to support robust manufacturing processes development for clinical phase and commercial products. You will play a crucial role in ensuring the quality and efficacy of our products, making a direct impact on patients’ health and well-being.
As a Analytical Chemistry, Polymer Intern, this position involves highly collaborative work where the intern will have the chance to work closely with cross-functional teams including process and product development, CMC, process engineering, internal and external manufacturing, quality assurance, and operations manufacturing sites. This collaborative environment will allow you to expand your knowledge and skills while making meaningful contributions to the organization.
Key Responsibilities Include:
Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
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