Pfizer is a leading pharmaceutical company, and they are seeking a Senior Manager for the Applied AI Workflow Scientist role. This position focuses on the practical application of large language models and agentic artificial intelligence in the field of Inflammation & Immunology, driving the development and adoption of reusable AI workflows in collaboration with scientific teams.
Responsibilities:
- Identify high-value, repeat scientific and analytical use cases where LLMs, agentic AI, and workflow automation can materially improve the speed, quality, consistency, or accessibility of work across I&I
- Design, build, and refine reusable AI workflows, prompt/program structures, orchestration patterns, and agent-based tools that support end-to-end scientific narratives rather than isolated task completion
- Partner closely with scientists, clinicians, computational biologists, and other stakeholders to understand real workflow pain points, define fit-for-purpose solutions, and iterate rapidly toward tools that are scientifically useful and operationally adopted
- Translate emerging LLM and agent capabilities into practical scientific applications, balancing speed of experimentation with methodological rigor, grounded usage, human-in-the-loop design, and reusable implementation patterns
- Contribute to technical standards for evaluation, documentation, guardrails, and workflow quality so that AIDE solutions are trusted, reproducible, and suitable for repeated use across teams and projects
- Work across the Digital ecosystem to avoid duplication, leverage existing platforms where appropriate, and ensure that AIDE solutions fit within the broader Pfizer AI and data environment
- Raise AI fluency among collaborators by demonstrating practical workflows, explaining trade-offs clearly, and helping scientists build confidence in responsible use of LLM-enabled tools