Principal Scientist, AI-Driven Oncology Target Discovery

Bristol Myers Squibb seeks a computational scientist to lead machine learning and AI agent development focused on oncology target discovery. The position involves creating automated analytical tools to examine complex biological datasets and identify therapeutic targets while understanding resistance mechanisms.

Key Responsibilities

• Design and implement AI systems to automate workflows for target identification using omics and screening data
• Integrate machine learning solutions into research workflows with cross-functional teams
• Analyze multimodal patient datasets to understand disease biology
• Transform analytical findings into actionable scientific insights
• Author publishable research reports and present conclusions
• Contribute to collaborative project planning across departments

Basic Qualifications

• Bachelor's degree plus 8+ years experience, OR
• Master's degree plus 6+ years experience, OR
• PhD plus 4+ years experience

Preferred Qualifications

• PhD in Computational Biology, Systems Biology, Computer Science, Machine Learning, or Statistics
• Demonstrated experience developing AI agents or LLM-driven applications
• Knowledge of functional genomics and single-cell/spatial omics analysis
• Background in systems biology within drug discovery; oncology experience preferred
• Strong publication record in machine learning or computational biology
• Excellent communication and collaboration abilities in fast-paced environments