Jobs

2026 Biologics Analytical R&D Intern - Data Science (AI/ML) Applications (PhD)
North Chicago
·
On-site
·
Internship
·
1w ago
Benefits & Perks
•Wellness benefits
Required Skills
Machine Learning
Artificial Intelligence
Python
Data Science
Biologics Analytical Research and Development Internship 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 Abb Vie Interns.
The intern in the agile and innovative Biologics Analytical Research and Development (R&D) organization will help to create and develop artificial intelligence (AI) and machine learning (ML) engines for one or more pharmaceutical development projects. This could include:
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Evaluating various software configurations against pharmaceutical regulatory requirements to determine best options based on pre-established acceptance parameters.
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Classifying incoming information from different external sources into specific categories, providing meaningful summaries, and identifying the appropriate subject matter experts with automated communications.
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Designing a tool to screen and summarize available financial information and invoices of pre-defined work packages to generate an accurate estimate or prediction of costs for future work.
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Creating a dynamic tool to automate resource planning and work package projections to predict time and financial efficiencies, allowing real-time adjustment of resources, task re-prioritizations and/or outsourcing opportunities.
In addition to delivering on AI/ML projects, key internship expectations include:
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Following a dynamic regulatory environment to maintain quality standards, where applicable.
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Effectively managing local and global interfaces across impacted stakeholders, including R&D and IT functions.
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Influencing mid- and long-term strategic focus areas while articulating new opportunities for AI/ML applications within the business.
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Building strong relationships with peers to create and implement technology solutions.
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Learning fast, grasping the essence, changing course quickly, and demonstrating an openness to suggestions where indicated.
Minimum Qualifications
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Currently enrolled in university, pursuing a PhD in computer or data science (or other related field) with a focus on artificial intelligence, machine learning, computational linguistics, natural language processing, or equivalent.
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Must be enrolled in university for at least one semester following the internship.
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Strong written and verbal communication skills.
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Strong critical thinking and collaboration skills.
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Skilled in managing tasks efficiently with an emphasis on prioritization and productivity.
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Demonstrates reliability, responsibility, and dedication in all aspects of work.
Preferred Qualifications:
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Expected graduation date between December 2026 – July 2027.
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Familiarity with pharmaceutical development preferred.
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Demonstrated knowledge and experience in the application of artificial intelligence and machine learning in professional industries.
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Benefits and Amenities:
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Competitive pay
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Relocation support for eligible students
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Select wellness benefits and paid holiday / sick time
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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.
Abb Vie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Abb Vie'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 Abb Vie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
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About AbbVie

AbbVie
PublicPharmaceutical company.
10,001+
Employees
North Chicago
Headquarters
Reviews
3.7
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.5
Management
2.5
60%
Recommend to a Friend
Pros
Good resume experience for entry-level positions
Valuable work experience opportunity
Brand recognition benefits
Cons
Lack of explicit feedback on performance
Limited communication about role expectations
No clear guidance provided
Salary Ranges
88 data points
Junior/L3
Mid/L4
Intern
Director
Junior/L3 · Associate Business Systems Consultant
4 reports
$167,325
total / year
Base
$145,500
Stock
-
Bonus
-
$141,860
$170,567
Interview Experience
6 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 33%
Negative 67%
Interview Process
1
Application Review
2
Recruiter Screen
3
Hiring Manager Interview
4
Panel Interview
5
Final Interview
6
Offer
Common Questions
Behavioral/STAR
Past Experience
Technical Knowledge
Culture Fit
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