2026 Graph Machine Learning Intern (PhD)

Job Details
Company Description
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 . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .
Job Description
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.
The Convergence AI and Data Analytics (CADA) team at AbbVie leverages advanced artificial intelligence and machine learning techniques to integrate and analyze diverse data sources throughout the organization, including biological datasets, clinical trial results, real-world evidence, and genomics. We partner closely with scientists across AbbVie to develop and apply innovative AI solutions that drive scientific discovery and accelerate the advancement of AbbVies drug development pipeline.
We are seeking a highly motivated and innovative intern who can employ cutting-edge methods in graph machine learning to develop models capable of predicting causal relationships between genes and diseases. They will review published literature on graph neural networks to identify relevant architectures, implement these architectures in Python, perform necessary data pre-processing, and train and rigorously validate the models.
The generated predictions will play a critical role in advancing AbbVie's drug development efforts, with significant implications for a wide range of human diseases.
Key responsibilities include:

• Designing, training, and evaluating graph machine learning models to predict trends in biomedical research
• Developing and optimizing data pipelines for graph data processing and model training
• Reviewing prior literature to identify suitable machine learning approaches and architectures
• Communicating findings and insights to cross-functional stakeholders

Qualifications MinimumQualifications

• Currently enrolled in university, pursuing aPhD in computer science, machine learning, bioinformatics, mathematics or other related field
• Must be enrolled in university for at least one semester following the internship
• Expected graduation datebetween December 2026 July 2027
• Knowledge of fundamental machine learning concepts
• Proficiency in Python, including data manipulation libraries such as Pandas and NumPy
• Experience building machine learning models in a major framework such as PyTorch or TensorFlow

Preferred Qualifications

• Familiarity with knowledge graph data
• Experience with graph machine learning, including frameworks such as PyTorch Geometric or Deep Graph Library (DGL)
• Working knowledge of SQL

Additional Information Benefits and Amenities

• Competitive pay
• Relocation support for eligible students
• Opportunity to work on cutting-edge machine learning problems with real-world implications for human health

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemay ultimatelypay more or less than the posted range. This range may be modified in thefuture.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employee remains in the Company's sole andabsolutediscretion unless and until paid andmay be modified at the Companys sole and absolute discretion, consistent withapplicable law. AbbVie 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
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
Company
AbbVie's mission is to discover and deliver innovative medicines 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, eye care, virology, women's health and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on Twitter , Facebook , Instagram , and YouTube .
Stock Symbol: ABBV
Stock Exchange: NYSE
Company info
Website Phone Location 1 North Waukegan Road
North Chicago
Illinois
60064
United States
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