2025 Quality Knowledge Management Automation Intern
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North Chicago, IL
- Research & Development
- Analytical Research & Development
- Intern
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn.
Quality Knowledge Management Automation Intern Overview:
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’s Interns.
The Pharmacovigilance, Patient Safety, Epidemiology, and Quality (PSEQ) organization works collaboratively and strategically with colleagues across the product lifecycle to identify, evaluate, understand, and communicate the safety profile and ensure quality standards of AbbVie products to protect patients worldwide.
This Intern will support the Medical Device Combo Product Research and Development Quality Assurance (MDCP RDQA) organization. This team works collaboratively and strategically with colleagues in R&D, Operations, Regulatory Affairs, Medical Safety and more to develop and launch new AbbVie medical device products to patients worldwide.
The role of MDCP R&D Quality is to ensure products are designed to be safe and effective, while also ensuring development efforts comply with applicable standards and regulations. The group is also focused on harmonizing quality processes across many diverse sites to ensure the needs of each site are represented in global procedures. We support the development of a variety of medical devices in the Therapeutic and Aesthetics space, including plastics, regenerative medicine, and electromechanical equipment.
Key responsibilities:
The intern will support a team of R&D QA development partners around the globe.
The intern will lead efforts to build tools (such as AI BOTs) to collect and organize existing SOPs, Regulations, Standards, Guidance, existing knowledge in a way to facilitate easy search and promote consistent application across R&D Medical Device Combo Product group members. The intern will explore potential ways to automate quality activities, such as DHF (Design History Files) documentation reviews to catch/correct basic documentation issues. This includes:
- Better organize existing quality documentation procedures, standards, guidance documents
- Implement knowledge management framework and best practices (e.g., team meeting notes, learnings, existing knowledge documentation) to optimize search functionality and ensure efficiency and consistency.
- Identify and implement right-size automation opportunities (e.g., document review process).
- Propose and execute machine learning (ML) and/or artificial intelligence (AI) solutions. Suggest future state improvements as applicable.
AbbVie strongly considers high performing interns as candidates for the Patient Safety &Quality Development Program, a two-year rotational program aimed at developing the leaders of tomorrow within the Patient Safety and Quality function.
Minimum Qualifications:
- Currently enrolled in university, pursuing a Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Data Analytics or other related field.
- Must be enrolled in university for at least one semester following the internship
- Expected graduation date between December 2025 – June 2026
- Familiarity with machine learning concepts and techniques
- Experience with data bank, data structure, and data analysis.
- Proficiency in data mining and extraction techniques
- Understanding of data governance and data quality principles
- Demonstrated ability to design and develop strategies for the use of Business Intelligence and Analytical tools (such as R, Python, Spotfire).
Benefits and Amenities
- Competitive pay
- Relocation support for eligible students
- Select wellness benefits and paid holiday / sick time
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.
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US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
- Yes, 5% of the Time