AbbVie is looking to develop innovative AI solutions to drive scientific discovery and accelerate the advancement of its drug development pipeline by predicting causal relationships between genes and diseases.
Requirements
- 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
- 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
Responsibilities
- 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
Other
- Currently enrolled in university, pursuing a PhD 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 date between December 2026 – July 2027
