AI Scientist – AI-Driven Target Identification
Core
Apply advanced AI/ML approaches to generate insights from complex multi-modal datasets for oncology drug discovery, target identification, and biomarker discovery.
Role type
Senior AI/ML scientist (drug discovery)
Builds
AI-driven target and biomarker discovery solutions for oncology drug development
Domain
Biomedical research / Oncology / Computational biology
Deliverable
production ML models
Required skills
Generative AI, Biomedical foundation models, Geometric deep learning, Multi-modal learning, Large-scale knowledge graphs, Deep learning frameworks (PyTorch), Omics data analysis, Drug development lifecycle knowledge
Preferred skills
Scientific publications in top-tier ML/AI venues, Cross-functional collaboration
Technologies
PyTorch, LLM software stack
Responsibilities
Design and develop AI/ML approaches for pre-clinical, clinical, and real-world evidence datasets; Demonstrate value of innovative AI techniques in target identification and biomolecular interaction modeling; Work with foundational models to advance generative AI applications; Collaborate on best practices for ML-ready data; Contribute to scientific publications and conference presentations
