Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Enhancing biologics property prediction through innovative AI/ML methods for drug development research at AbbVie

Requirements

• Demonstrated experience with deep learning concepts
• Experience with Python and PyTorch
• Familiarity with protein language models
• Familiarity with protein structure data (e.g., PDB files) and structural biology concepts
• Experience with molecular dynamic simulations or other protein structural sampling techniques
• Experience with Graph Neural Network (GNN) models

Responsibilities

• Evaluate and analyze structures of biologics
• Explore and implement state-of-the-art techniques to improve AI/ML models
• Collaborate with AI/ML and computational biology experts to refine modeling strategies and achieve predefined success metrics

Other

• Currently enrolled in university, pursuing a PhD in Computer Science, Computational Biology, Biophysics, or other related field
• Must be enrolled in university for at least one semester following the internship
• Excellent communication, problem-solving, and collaboration skills
• Expected graduation date between December 2026 – June 2027
• Relocation support for eligible students