Principal Data Scientist

Role: Principal Data Scientist focused on designing, developing, and deploying scalable AI/ML solutions, including agentic systems, to enhance innovation, operational efficiency, and regulatory compliance within biopharma. Responsibilities: Collaborate across multi-functional teams to translate AI advancements into enterprise applications, architect agent-based multi-agent systems, champion robust MLOps practices, and embed responsible AI principles aligned with GxP standards. Qualifications: Doctorate with 2+ years or equivalent in Data Science, Software/ML Engineering; advanced proficiency in Python, ML frameworks, knowledge graph tech, and cloud platforms; experience in regulated biotech or healthcare environments is preferred. High-Value: Expertise in AI/ML, generative AI, agent-based systems, knowledge graphs, LLMs, and GxP-regulated data integrity. Strong stakeholder engagement skills required for cross-functional, global collaboration. Work setup: Not specified, likely hybrid or remote given the nature of the role.