Principal Data Scientist

Role: Principal Data Scientist specializing in AI-driven drug development, leading projects that enhance clinical trials and therapeutic decision-making. Responsibilities: develop models for patient stratification, biomarker discovery, and trial optimization; automate biomedical workflows with AI agents; collaborate with clinical, research, and engineering teams; present findings to senior leadership. Requirements: PhD in computational or life sciences; 5+ years post-academic experience in biotech, pharma, or consulting; strong Python programming skills; expertise in multi-modal bioinformatics; experience with machine learning, deep learning, and large language models preferred. HighValue: focus on AI applications in drug discovery, clinical trial innovation, biomarker identification, and patient stratification; cross-functional collaboration; emphasis on cutting-edge AI tech. WorkSetup: hybrid in New York City or Boston (3 days/week), with consideration for candidates in NC or SF; relocation may be required.